CN101150647A - Image processing device, image forming device and image processing system - Google Patents
Image processing device, image forming device and image processing system Download PDFInfo
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Abstract
An image process device of the present invention comprises: a characteristic point calculation unit, extracting a plurality of connecting region from input manuscript image, and obtaining the characteristic point by barycenter of the calculation connecting region; a characteristic quantity calculation unit, calculating the characteristic quantity of the calculation manuscript image according to obtained distance between the characteristic points; a ballot process unit, voting to the analogical image based on the obtained characteristic quantity; and similarity judgment process unit, judging similarity based on the voting result, the image process device accepts the similarity judgment result, determining the executed process content as output process.
Description
Technical field
The present invention relates to export according to the original image decision that should read image processing apparatus, image processing system and the image processing system of the content of handling.
Background technology
In the past, as the image that reads original copy by scanning means, and check, thereby judge the image processing method of their similarity with registered view data in advance, proposed to extract keyword from image, thereby carried out method by the coupling of keyword by OCR etc.; Object images is defined as the ticket image with ruling, thereby carries out (for example, opening the 2004-118296 communique) such as methods by the coupling of ruling feature with reference to the spy
The e-text of a plurality of kinds that paper text or data format is different is transformed to the file of the data format that is predetermined and is stored in the text managemant server, at leader the view data that is read is carried out the character recognition processing and made it be transformed to text message, according to text message, whether there is the retrieval of the e-text data identical with the view data that is read.Under the situation that is judged as identical text, use the e-text data in the text managemant server to print, thereby can obtain the high-quality duplicating (copy) that picture quality can not worsen.
But, can produce such problem: for the original copy of some form, roughly under the situation of the mode of decision output, reset institute's output condition, very time-consuming.In addition, also comprise following problem: when carrying out wrong setting, need to set again once more.
And, output carried out under the still monochromatic situation about printing of colour print automatically carrying out, for example, having used when being documented in the spy and opening that (ACS:Auto Color Selection) method is handled in employed automatic coloured selection in the image processing apparatus in the flat 4-282968 communique, only need to switch still use monochromatic printing list chromogen original text with the colour print colored original.But, when duplicating specific original copy, be colored original even considered original original copy, also usually want situation about printing, but in the prior art with monochromatic, can't tackling original original copy, to be used to switch to colored original still be monochromatic original copy.
Summary of the invention
The present invention finishes in view of these problems, its purpose is, image processing apparatus, image processing system and image processing system are provided, the original image that above-mentioned image processing apparatus reads being judged as is under the situation of specified image, read the information of the output processing of storing explicitly, handle according to the information and executing output of being read, thereby the user can save the time of setting treatment conditions with this specified image, and, can suppress to set error.
The application's image processing apparatus is characterized in that, comprising: the output processing unit, and based on by reading the original image acquired image data, carry out output and handle; Memory cell will be stored explicitly by this contents processing and specified image of exporting the performed output processing of processing unit; Judging unit based on described view data, judges whether described original image is specified image; Sensing element is under the situation of specified image in described judgment unit judges, reads the contents processing of storing explicitly with this specified image from described memory cell; And control unit, according to the contents processing of being read, the output that control is carried out by described output processing unit is handled.
The application's image processing apparatus is characterized in that, comprising: accept the unit, the change of the contents processing that acceptance should be carried out; And the change unit, the history of the change that storage is accepted, and, be updated in the contents processing of storing in the described memory cell according to stored historical.
The application's image processing apparatus is characterized in that, described contents processing comprises to be forbidden based on the processing of the image of described view data output or will be replaced into other images based on the image of described view data and the processing of exporting.
The application's image processing apparatus, it is characterized in that, the tupe that described control unit is handled based on described output is selected to forbid based on the processing of the image output of described view data or will be replaced into other images based on the image of described view data and the processing of exporting.
The application's image processing apparatus, it is characterized in that described contents processing comprises: conversion based on the processing of the resolution of the image of described view data, adjust processing, will be transformed at least one in handling except that the processing of colour signal or based on the tone rendering of described view data based on the colour signal of described view data based on the tone characteristic of the image of described view data.
The application's image processing apparatus, it is characterized in that, described control unit shows described contents processing and the image that carried out based on described contents processing handling impels the user to confirm, be judged as under inappropriate situation the user, change is carried out described processing after being judged as at least one contents processing among inappropriate described contents processing once more.
The application's image processing apparatus, it is characterized in that described contents processing also comprises: to the processing of giving digital electronic signature based on the image of described view data, to the processing of giving time stamp based on the image of described view data, will be based on the processing of the image encryption of described view data with in the processing of giving the character identification result that described view data is finished based on the image of described view data at least one.
The application's image processing apparatus is characterized in that, comprising: characteristic quantity memory cell, the characteristic quantity of store predetermined image; Feature amount calculation unit based on described view data, is calculated the characteristic quantity of the feature be used to represent described original image; And comparing unit, characteristic quantity of calculating and the characteristic quantity of representing the feature of described specified image are compared, wherein, described judging unit judges based on the comparative result of described comparing unit whether described original image is specified image.
The application's image processing apparatus is characterized in that, comprising: the extracted region unit, extract a plurality of zones that are made of the element of the same race in the described original image; And the center of gravity calculation unit, calculate each regional center of gravity of being extracted, wherein,, calculate the characteristic quantity of described original image based on the configuration of the center of gravity of calculating.
The application's image processing apparatus is characterized in that, described characteristic quantity is for the rotation that comprises described original image, parallelly move, enlarge the geometric variation dwindled and constant parameter.
The application's image processing apparatus, it is characterized in that, described characteristic quantity is for the rotation that comprises described original image, parallelly move, enlarge the geometric variation dwindled and constant parameter, described judging unit is voted to the specified image with characteristic quantity consistent with described characteristic quantity of calculating, and will compare, thereby judge whether described original image is specified image to each specified image result who votes and the threshold value that is predetermined.
The application's image processing system is characterized in that, comprising: any of above-mentioned image processing apparatus; And image formation unit, will be formed on the sheet material by the handled image of this image processing apparatus.
The application's image processing system is characterized in that, described image processing system has tupe, under the situation of described original image being carried out electronic dataization based on predetermined form and preserving, reads described original image, to satisfy described form.
The application's image processing system is characterized in that, comprising: image processing apparatus; And server, for this image processing apparatus, can be connected communicatedly, wherein said image processing apparatus and server comprise with lower member with distribution mode: memory cell, contents processing and specified image in the time of will carrying out the output processing based on view data are stored explicitly, and above-mentioned view data obtains by reading original image; Judging unit based on described view data, judges whether described original image is specified image; Sensing element is under the situation of specified image in described judgment unit judges, reads the contents processing of storing explicitly with described specified image from described memory cell; And control unit, according to the contents processing of being read, control output is handled.
Under the application's the situation, the original image that reads being judged as is under the situation of specified image, reads the contents processing of storing explicitly with this specified image, handles according to the contents processing control output of being read.Therefore, the time of setting treatment conditions can be reduced, the error that the user sets can be prevented simultaneously.In addition, in automatic coloured selection is in the past handled, can only select monochromatic output, but can carry out in this application in the past, can not carrying out, colored original carried out monochromatic selection of printing handle.
The application is not only the original image to reading by scanning, also go for, use application software by personal computer, the data of prescribed form are write necessary item and the original image of the electronic data format that generates, maybe will be the electronic data that the file format of the regulation of JPEG etc. generates by the data conversion that scanner read.For example, for electronic data, can use various software, therefore, for example in compounding machine (MFP) or server, use RIP (raster image processor), explain PDL (page-description language), whether the data that generate being transformed to raster image (RGB data) are that the judgement of specified image gets final product.
For electronic data, in compounding machine (MFP) or server, for example be under the situation of the picture format that is encoded of JPEG or GIF etc., temporarily carry out decoding processing, and, after the conversion process that is rgb signal etc. as required, whether be that the judgement of specified image gets final product with YCC signal transformation to the data that generated.
Under the situation of PDF, view data is with the picture format that is encoded of JPEG etc. and under the situation of preserving, carrying out decoding processing is transformed to after the rgb signal it, using method of the present invention gets final product, vector (vector) data division about source (font) etc., be transformed to after the view data of RGB by RIP etc., use method of the present invention and get final product.
Under the application's the situation, under the situation that the contents processing that should carry out is changed, this history is stored, and contents processing is updated according to institute's stored historical, so can reflect the behaviour in service of user's reality, can reduce the time that is used to set treatment conditions.
Under the application's the situation, can carry out the processing of the output of forbidding image, so can limit the printing of the unwanted page.In addition,, for example, can be used as blank sheet of paper output, so can limit the output, transmission etc. of unwanted information because can carry out the processing that image that the image that should export is replaced into other is exported.
Under the application's the situation,, also can carry out coming keeping corresponding to the processing that proposes the destination for the text of the object that becomes e text method.
Under the application's the situation, even be implemented under the situation of inappropriate processing, also can change setting, implement suitable processing and preserve.
Under the application's the situation,, thereby judge whether original image is specified image by the characteristic quantity of specified image relatively and the original image imported, so, for example, by the computing of hardware, can high speed and the similarity between the process decision chart picture accurately.
Under the application's the situation, from original image, extract a plurality of zones that constitute by element of the same race, calculate each regional center of gravity of being extracted, calculate the characteristic quantity of original image based on the configuration of the center of gravity of being extracted.Therefore, can extract characteristic quantity for image arbitrarily, can be at a high speed and the similarity between the process decision chart picture accurately.
Under the application's the situation,,, also can check accurately even under the situation about after the original copy of being checked reverses up and down, being scanned for the registration original copy.
Under the application's the situation, as characteristic quantity, use for the rotation that comprises original image, parallelly move, enlarge the also constant parameter of geometric variation of dwindling, in addition, registration original copy to the characteristic quantity unanimity is voted, even, also can check accurately so have noise or write.
Under the application's the situation, also can be applied in printing equipment, digit apparatus etc.
Under the application's the situation, the text for the object that becomes e text method certainly reads text by super scanning, can reduce the time that the user sets reading conditions.
Under the application's the situation, can provide text, also can implement the image read-out of handling and taking care of according to proposing the destination for the object that becomes e text method.
Description of drawings
Fig. 1 is the block diagram of internal structure of the image processing apparatus of expression present embodiment.
Fig. 2 is the concept map of an example of expression contents processing decision table.
Fig. 3 is the concept map of other examples of expression contents processing decision table.
Fig. 4 is the block diagram of the structure of representation feature point computing unit.
Fig. 5 is the concept map that is illustrated in an example of employed compound filter in the filter process unit.
Fig. 6 A and Fig. 6 B are the ideographs of the extraction example of representation feature point.
Fig. 7 is a key diagram of paying close attention to characteristic point and peripheral characteristic point.
Fig. 8 A～Fig. 8 C is the key diagram of explanation in the example calculation of the invariant of paying close attention to characteristic point P1.
Fig. 9 A～Fig. 9 C is the key diagram of explanation in the example calculation that will pay close attention to the invariant under the situation that characteristic point is made as characteristic point P4.
Figure 10 A～Figure 10 D is the key diagram of explanation in the example calculation of the invariant of paying close attention to characteristic point P3.
To be explanation will pay close attention to other the key diagram of example calculation of invariant under the situation that characteristic point is made as characteristic point P4 to Figure 11 A～Figure 11 D.
Figure 12 A and Figure 12 B are the concept maps of the structure of expression hash table.
Figure 13 is the curve chart of an example of expression voting results.
Figure 14 is the flow chart of the step of the performed processing of explanation image processing apparatus.
Figure 15 is the concept map of an example that the contents processing decision table of destination has been registered in expression.
Figure 16 is the concept map of other examples that the contents processing decision table of destination has been registered in expression.
Figure 17 is the flow chart of the treatment step of explanation when the processing that needs the destination.
Figure 18 A and Figure 18 B be illustrate have overleaf the ticket of filling explanation data with and handle the key diagram of example.
Figure 19 A and Figure 19 B be illustrate group that the ticket of filling explanation data is arranged overleaf with and handle the key diagram of example.
Figure 20 A and Figure 20 B be explanation with many be one group the ticket data with and handle the key diagram of example.
Figure 21 is the chart of example of the criterion of expression e text method.
Figure 22 is the block diagram of internal structure of the image processing apparatus of expression present embodiment.
Figure 23 is the flow chart of the step of the performed processing of explanation image processing apparatus.
Figure 24 is the flow chart of the treatment step of explanatory text collation process.
Figure 25 is the flow chart of the treatment step of explanation form correspondence image processing.
Figure 26 is the ideograph of structure of the image read-out of expression present embodiment.
Figure 27 is the block diagram of the internal structure of presentation video processing unit.
Figure 28 is the key diagram of the sweep limits of explanation original image.
Figure 29 A and Figure 29 B are the key diagrams to the laying method of document board.
Figure 30 is the block diagram of internal structure of the image processing system of explanation present embodiment.
Figure 31 is the block diagram of internal structure of the picture unit of explanation present embodiment.
Figure 32 is the block diagram of the internal structure of expression image processing apparatus that the program code that is stored in the storage medium is read and carries out.
Figure 33 is the integrally-built ideograph of the image processing system of expression present embodiment.
Figure 34 is the block diagram of the internal structure of expression MFP of execution mode 9 and server.
Figure 35 is the concept map of function list.
Figure 36 is the flow chart of the step of the performed processing of explanation server.
Figure 37 is the flow chart of the step of the performed processing of explanation MFP.
Figure 38 is the block diagram of the internal structure of expression MFP of execution mode 10 and server.
Figure 39 is the flow chart of the step of the performed processing of explanation MFP.
Figure 40 is the flow chart of the step of the performed processing of explanation server.
Figure 41 is the block diagram of the internal structure of expression MFP of execution mode 11 and server.
Figure 42 is the flow chart of the step of the performed processing of explanation MFP.
Figure 43 is the flow chart of the step of the performed processing of explanation server.
Embodiment
Below, specify execution mode with reference to accompanying drawing.
Fig. 1 is the block diagram of internal structure of the image processing apparatus of expression present embodiment.The image processing apparatus of present embodiment comprises: control unit 11, memory cell 12, operating unit 13, display unit 14, image input unit 15, image output unit 16, communication unit 17 and text collation process unit 20.
Fig. 2 is the concept map of the example of expression contents processing decision table 12a.In contents processing decision table 12a, the index of expression original copy and the relation between the contents processing have been stipulated.Wherein, the index of expression original copy is the identifier that is used to discern registered images, and is when being judged to be under the original image situation similar to registered images in similarity determination processing described later unit 24, selected to the index that this registered images distributed.In contents processing decision table 12a, determined the contents processing that output is handled for an index, so under the situation of having selected index, contents processing is determined.For example, selected under the situation of " ID1 " as index, contents processing is decided to be monochromatic the printing.In addition, selected under the situation of " ID2 " as index, contents processing is decided to be double-colored printing.Similarly, under the situation of the index of having selected other, handle and quilt decision facsimile transmission, fax processing, duplex printing, two-in-one (two sides distribution), printing and bookbinding processing, printing and facsimile transmission etc. as exporting.
In addition, above-mentioned contents processing is the content of acquiescence, also can be according to environment for use and change setting.
Fig. 3 is the concept map of other examples of expression contents processing decision table 12a.In contents processing decision table 12a shown in Figure 3, the index of expression original copy and the relation between a plurality of contents processing have been stipulated.The change of contents processing can be accepted by operating unit 13.For example, under the situation of the change request of accepting contents processing by operating unit 13, at first, each project is shown the contents processing of acquiescence, select, thereby can set the contents processing of expectation by urging the user.
Operating unit 13 is the interfaces that are used to accept user's operation, comprises various switches, button etc.Display unit 14 is the interfaces that the user shown notifiable information, image etc., comprises LCD etc.
In addition, the image processing apparatus of present embodiment constitutes, by in image input unit 15, reading original image, thereby obtain the view data of object output, but also can constitute, for example also can be with the view data that is stored in the view data of memory cell 12, imports by communication unit 17 as object output, and carry out image when output based on these view data, similarity between judgement and the registered images, under similar situation, export processing according to the contents processing of contents processing decision table 12a defined.
Text collation process unit 20 comprises: characteristic point calculation unit 21, and from the character string that is included in original image, ruling etc., extract linking portion, and the center of gravity of linking portion is calculated as characteristic point; Feature amount calculation unit 22 is used the characteristic point calculate, the calculated characteristics amount, and described characteristic quantity is for the rotation that comprises original image, parallelly moves, enlarges the geometric constant amount (hashed value) that is changed to of dwindling; Ballot processing unit 23 uses the characteristic quantity of calculating according to original image, and the original copy of being registered among the hash table 12b is voted; And similarity determination processing unit 24, use voting results and ask and registered images between similarity, judge whether original image similar to registered images.
Result of determination in the similarity determination processing unit 24 is informed to control unit 11.Control unit 11 when receiving the notice of the original image intention similar to registered images, the information of reading the contents processing of storing explicitly with this registered images from contents processing decision table 12a, and handle according to the information and executing output of being read.On the other hand, control unit 11 is carried out output according to the content that sets and is handled when receiving the notice of original image and the dissimilar intention of registered images in operating unit 13.
In the present embodiment, constitute under the original image situation similar to registered images, be made as by contents processing decision table 12a and determine the contents processing that to carry out, but judgement that also can delegate user is carried out whether carrying out output according to the contents processing that is determined and handled.For example, when original copy being carried out prescan (pre scan), carry out similar judgement, and the information of the contents processing that determined is presented in the display unit 14.And the output that the user is confirmed to be do not allow shown contents processing is handled, and under the situation of the selection of the intention of having accepted by operating unit 13 to allow to carry out, exports processing according to shown contents processing.In addition, under the situation of the selection of the intention of having accepted by operating unit 13 not allow to carry out, export processing with the state of not setting contents processing.
In addition, do not having can to accept the selection of processing method under the situation that allows to handle according to the output of the contents processing that is determined yet.At this moment, also can learn the result that contents processing is changed, and upgrade contents processing decision table 12a based on learning outcome.As learning method, can be that the number of times of selected contents processing in certain certain hour is counted, select the method for the maximum contents processing of usage frequency.
Below, be described in detail in the contents processing in the text collation process unit 20.Fig. 4 is the block diagram of the structure of representation feature point calculating section 21.Characteristic point calculation unit 21 comprises: remove color processing unit 211, resolution conversion unit 212, filter process unit 213, binary conversion treatment unit 214 and center of gravity calculation unit 215.
Remove color processing unit 211 and be and be used for removing look during for coloured image, and be transformed to the processing unit of luminance signal or luminance signal at input image data.For example, obtain luminance signal according to following transform.
Yj＝0.30Rj+0.59Gj+0.11Bj
Here, Yj represents the brightness value of each pixel, and Rj, Gj, Bj represent the colouring component of each pixel.In addition, not this method, also rgb signal can be transformed to CIE1976L*a*b* signal (CIE:Commission International de1 ' Eclairage, L*: brightness, a*, b*: colourity).
Fig. 5 is the concept map that is illustrated in an example of employed compound filter in the filter process unit 213.Compound filter for example is, has 7 * 7 size.Pixel to the image imported scans, and all pixels is carried out the calculation process of compound filter.In addition, the size of compound filter is not limited to 7 * 7 size, also can be sizes such as 3 * 3,5 * 5.In addition, the numerical value of filter coefficient is an example, is not limited thereto, and also can suitably set according to the characteristic of employed image input unit 15 etc.
Binary conversion treatment unit 214 is from being removed the view data that look is crossed, generating the processing unit of the binary image data that is suitable for center of gravity calculation.Therefore, binary conversion treatment unit 214 is to be made as threshold value by removing colored view data (brightness value (luminance signal) or brightness value (luminance signal)), thereby with image binaryzation.
The center of gravity that links component is asked from by the data of binaryzation (for example, represented by " 1 " or " 0 ") in center of gravity calculation unit 215, and it is outputed to feature amount calculation unit 22 as characteristic point.As the computational methods of center of gravity, can use method in the past.That is,, each pixel is indicated (additional marking processing), determine, and the center of gravity of determined connecting area is extracted as characteristic point by the connecting area that pixel linked of additional same tag based on the binaryzation information of bianry image.The characteristic point that is extracted outputs to feature amount calculation unit 22.In addition, characteristic point can be represented with the coordinate figure in the bianry image (x coordinate, y coordinate).
Fig. 6 A and Fig. 6 B are the ideographs of the extraction example of representation feature point.Fig. 6 A is by above-mentioned method, and the example that " A " character is determined as connecting area is represented as characteristic point (center of gravity) and calculated situation with the point shown in the black circle among the figure.Fig. 6 B also is in the same manner, has extracted the example of connecting area from " Books " character, and the expression connecting area is split into two zones and situation about being determined.At this moment, because of from each connecting area calculated characteristics point (center of gravity), so calculate two characteristic points (characteristic point A, characteristic point B) from a character.
Then, the computational methods of characterization amount.The a plurality of characteristic points of feature amount calculation unit 22 from being calculated by characteristic point calculation unit 21, the characteristic quantity of computed image.At this moment, any of the characteristic point that calculated selected as paying close attention to characteristic point, and will be paid close attention to four near characteristic points of characteristic point distance apart from this and select as peripheral characteristic point.
Fig. 7 is a key diagram of paying close attention to characteristic point and peripheral characteristic point.Fig. 7 is the situation that six characteristic point P1～P6 of expression are calculated by characteristic point calculation unit 21.At this moment, in feature amount calculation unit 22 with characteristic point P3 as paying close attention under the situation that characteristic point selects, as peripheral characteristic point and selected successively apart from paying close attention near characteristic point P1, P2, P4, the P5 of characteristic point P3 distance.Feature amount calculation unit 22 is used selected concern characteristic point (P3) and peripheral characteristic point (P1, P2, P4, P5), the invariant that calculating not can be because of the inclination of original image, move, rotation etc. changes, and, calculate the characteristic quantity of original image according to the invariant of calculating.
Fig. 8 A～Fig. 8 C is the key diagram of explanation in the example calculation of the invariant of paying close attention to characteristic point P3.Use the distance between concern characteristic point P3 and peripheral characteristic point P1, P2, P4, the P5, define invariant H3j according to H3j=A3j/B3j.Here, get j=1,2,3, A3j, B3j be the distance between the representation feature point respectively, and the distance between the characteristic point is based on each peripheral characteristic point coordinates value and calculates.That is, calculated three groups invariant, the value of invariant H31 is that the value of A31/B31 (with reference to Fig. 8 A), invariant H32 is that the value of A32/B32 (with reference to Fig. 8 B), invariant H33 is A33/B33 (with reference to Fig. 8 C).Even under the situation that original copy rotates when reading original copy, move, tilt, the value of these invariants H3j is also constant, can in the similar judgement of back level, carry out the similarity judgement of image accurately.
Fig. 9 A～Fig. 9 C is that explanation will be paid close attention to the key diagram that characteristic point is made as the example calculation of the invariant when paying close attention to characteristic point P4.Ground same as described above, feature amount calculation unit 22 are selected as peripheral characteristic point successively apart from paying close attention near characteristic point P1, P2, P4, the P5 of characteristic point P4 distance.At this moment, ground same as described above can calculate invariant 4j (j=1,2,3) according to H4j=A4j/B4j.That is, the value of invariant H41 is that the value of A41/B41 (with reference to Fig. 9 A), invariant H42 is that the value of A42/B42 (with reference to Fig. 9 B), invariant H43 is A43/B43 (with reference to Fig. 9 C).
In that other characteristic point P1, P2, P5, P6 is also identical when selecting as the concern characteristic point, feature amount calculation unit 22 changes successively pays close attention to characteristic point, calculate selected each characteristic point P1, P2 ..., the invariant Hij during P6 (i=1,2 ..., 6:j=1,2,3).
Then, feature amount calculation unit 22 is used according to each and is paid close attention to the invariant that characteristic point calculated, calculated characteristics amount (hashed value) Hi.Hashed value Hi in the time will paying close attention to characteristic point and be made as characteristic point Pi is with Hi=(Hi1 * 10
2+ Hi2 * 10
1+ Hi3 * 10
0)/E represents.Here, i is a natural number, and representation feature is counted.In addition, E is according to remainder being set at the constant what degree determines, for example, when E=10, remainder is got 0～9 value, and this constant becomes the desirable scope of the hashed value of calculating.
Computational methods as the invariant that passes through the concern characteristic point, for example shown in Figure 10 A～Figure 10 D, also can select four groups combination by peripheral characteristic point P1, the P2 that pays close attention to characteristic point P3, four points of P4, P5, with above-mentioned situation in the same manner, calculate invariant H3j (j=1,2,3,4) according to H3j=A3j/B3j.In addition, shown in Figure 11 A～Figure 11 D, also in the same manner, select four groups combination in the time of will paying close attention to characteristic point and be made as P4, calculate invariant H4j (j=1,2,3,4) according to H4j=Aj/Bj by peripheral characteristic point P2, the P3 that pays close attention to characteristic point P4, four points of P5, P6.At this moment, hashed value Hi presses Hi=(Hi1 * 10
3+ Hi2 * 10
2+ Hi3 * 10
1+ Hi4 * 10
0)/E calculates.
In addition, be an example as the above-mentioned hashed value of characteristic quantity, be not limited thereto, also can use other hash function.In addition, be to select four structure in above-mentioned, but be not limited to four as peripheral characteristic point.For example, also can extract six.At this moment, also can for each method of six groups extracting five, extract at 3 from 5 and ask invariant, calculate hashed value from five of six feature point extraction.
Figure 12 A and Figure 12 B are the concept maps of the structure of expression hash table 12b.Hash table 12b is by hashed value and represents that each hurdle of the index of original copy constitutes.That is, shown in Figure 12 A,, registering location index and the invariant of representing the position in the original copy corresponding to the index of expression original copy.For the similarity of process decision chart picture, the image that registered in advance is checked in hash table 12b, text image etc.In addition, shown in Figure 12 B, under the situation that hashed value equates (H1=H5), also two tabulated values of hash table 12b can be gathered is one.
The hashed value (characteristic quantity) calculated based on feature amount calculation unit 22 of ballot processing unit 23, retrieval hash table 12b, and the original copy of the index that is registered voted.Figure 13 is the curve chart of an example of expression voting results.Transverse axis represents that the kind of original copy, the longitudinal axis represent number of votes obtained.Example shown in Figure 13 is the situation that expression is voted to three kinds of original copys (" N1 "～" N3 ").The voting results of ballot being accumulated add operation output to similarity determination processing unit 24.
The similarity of original copy is judged based on the voting results from 23 inputs of ballot processing unit in similarity determination processing unit 24, and notifies control unit 11 with result of determination.Similarity determination processing unit 24 will compare with the threshold value that is predetermined from the votes (number of votes obtained) of ballot processing unit 23 inputs, if votes is more than the threshold value, judge that then original image is similar to registered images, and then, judge that in being judged as similar original image the highest original image of number of votes obtained is consistent original image.In addition, from the votes of ballot processing unit 23 input during less than threshold value, similarity determination processing unit 24 judges there is not similar original copy, and with this result notification to control unit 11.
In addition, above-mentioned decision method is an example, method as other also can be, the maximum number of votes obtained (number of the characteristic point that each original copy is obtained etc.) of for example using each original copy carries out divided by number of votes obtained carrying out the judgement or the consistent judgement of similarity after the normalization.
Below, the performed processing of image processing apparatus of present embodiment is described.Figure 14 is the flow chart of the step of the performed processing of explanation image processing apparatus.The view data that is transfused to by image input unit 15 is input to text collation process unit 20.Characteristic point calculation unit 21 is carried out the computing (step S11) of characteristic point according to the view data of being imported.Calculated the center of gravity of connecting area as characteristic point.The information of the characteristic point that calculates is output to feature amount calculation unit 22.
Feature amount calculation unit 22 is carried out the computing (step S12) of characteristic quantity based on the information of the characteristic point that is calculated by characteristic point calculation unit 21.As characteristic quantity, calculated based on the hashed value of the distance between the characteristic point.The information of the characteristic quantity that calculates outputs to ballot processing unit 23.
In addition, be judged as original image when being specified image (S16: "Yes"), that is, and when the notice of the intention of the image similarity that receives original image and registered in advance, control unit 11 retrieval process content decision table 12a, whether the judgment processing content is set (step S17).Be judged as processing method (S17: "No"), finish the processing of this flow process when not being set.
(S17: "Yes"), control unit 11 carried out reading processing method (step S18) from contents processing decision table 12a, carries out output according to the processing method of being read and handles (step S19) when processing method was set being judged as.
Above processing for example is, carries out when original image is carried out prescan.Carry out text when scanning and check,, when contents processing is set, contents processing is presented in the display unit 14, impel user's input there being consistent form.When no problem, press " OK " button (not shown) that is arranged on operating unit 13, cannot the time, press " NO " button (not shown).If press any button, then begin this scanning.When having selected " NO ", carry out identical processing with the situation that is not set contents processing.Perhaps, also can cannot the time, select processing method.Also can learn the result that contents processing changed (for example, the number of times of selected contents processing in certain certain hour is counted, selected the highest contents processing of usage frequency), change setting.
The processing that sets is (for example to need the processing of destination (send the destination, preserve the file of filing (filing)), fax, filing etc.) time, also can in contents processing decision table 12a, preserve the destination in advance, send or transmit with reference to the content of destination.Figure 15 is the concept map of the example of the expression contents processing decision table 12a that is registered of destination, and Figure 16 is the concept map of other examples of expression.
In addition, when not being set the destination, also can after having selected processing, import the destination in advance.At contents processing is when handling by the transmission of fax, send the input of the Fax number of destination, when filing, showing in display unit 14 can be from image processing system (for example, compounding machine) structure of Fang Wen file or storage device (tree structure of file etc.) urges the user to get final product with the file of selecting storage file.Perhaps, also can specified path.
The file of preserving file is to generate (for example, the file system of tree structure) in advance in advance, and it is constituted as set path, so that when file was selected, file was stored in the selected file.Low layer at a certain file is provided with a plurality of files, stores the file of similar form in these files successively, for example, is set in advance in the number of files of storing in the file, when reaching stated number, stores in next file.By such formation,, can automatically distinguish file though need user's affirmation.
The file of preserving is stored in the hard disk of image processing system (for example, compounding machine).Perhaps, also can be the server that connects by network, USB storage, the external hard disk that connects by interfaces such as USB or IEEE1394 etc.
Figure 17 is the flow chart of the treatment step the when processing that needs the destination is described.The view data of being imported by image input unit 15 is imported into text collation process unit 20.Characteristic point calculation unit 21 is carried out the computing (step S21) of characteristic point according to the view data that is transfused to.The center of gravity of connecting area is calculated as characteristic point.The information of the characteristic point that calculates is output to feature amount calculation unit 22.
Characteristic point calculation unit 22 is carried out the computing (step S22) of characteristic quantity based on the information of the characteristic point of calculating in characteristic point calculation unit 21.As characteristic quantity, calculated based on the hashed value of the distance between the characteristic point.The information of the characteristic quantity that calculates is output to ballot processing unit 23.
In addition, be judged as original image when being specified image (S26: "Yes"), that is, and when the notice of the intention of the image similarity that receives original image and registered in advance, control unit 11 retrieval process content decision table 12a, whether the judgment processing method is set (step S27).Be judged as processing method (S27: "No"), finish the processing of this flow process when not being set.
(S27: "Yes"), control unit 11 carried out reading processing method from contents processing decision table 12a, carries out the demonstration (step S28) of processing method when processing method was set being judged as.
Then, based on the operation indication of being imported by operating unit 13, whether the judgment processing method is confirmed by the user (step S29).(S29: "No"), finish the processing of this flow process when processing method is not identified.
(S29: "Yes"), by reference contents processing decision table 12a, judging whether need input destination (step S30) when processing method had been confirmed by the user being judged as.At contents processing is the processing that does not need the destination, even or need the contents processing of destination, but its destination also has been registered under the situation among the contents processing decision table 12a, and being judged as does not need to import destination (S30: "No"), finish the processing of this flow process.
On the other hand, no matter contents processing is the processing that needs the destination, when the destination is not stored in contents processing decision table 12a yet, being judged as needs input destination (S30: "Yes"), accept the input (step S31) of destination, and the processing method of passing through to be read is carried out processing (step S32).
Below, the execution mode that has the ticket data of filling explanation to handle to the back side in image processing apparatus is described.
For example, for the ticket data that filling explanation is arranged overleaf, with putting down in writing on the basis of filling in specification the page or leaf (below, be recited as the filling explanation page or leaf) and the actual mixed ticket data of page or leaf of filling in, because of the filling explanation page or leaf is the information common to ticket data of the same race, so during except account ticket that generation is used to write, need not to print, processing such as filing or electronics are broadcast.Therefore, be judged to be when being filling explanation, the index of storage representation original copy and contents processing accordingly be not so that handle this page or leaf.At this moment, have the filling explanation page or leaf as the situation of blank sheet of paper page or leaf processing with as the situation that does not have the filling explanation page or leaf to handle.
Figure 18 A～Figure 18 B be illustrate have overleaf the ticket of filling explanation data with and handle the key diagram of example.It is to fill in face, when the back side is the account ticket (with reference to Figure 18 A and Figure 18 B) of filling explanation page or leaf, the front is handled that a plurality of fronts are arranged, and export as the blank sheet of paper page or leaf at the back side.For example, under the situation of printer, the front prints, and the back side is with blank sheet of paper (not reading) output (with reference to Figure 18 B).
Figure 19 A and Figure 19 B be illustrate group (set) that the ticket of filling explanation data is arranged overleaf with and handle the key diagram of example.Shown in Figure 19 A, be under one group the situation of ticket data with many, illustrate that page or leaf do not export processing, then, export its one page (with reference to Figure 19 B) down.
Figure 20 A～Figure 20 B be explanation with many be one group the ticket data with and handle the key diagram of example.Shown in Figure 20 A, be in one group the ticket data with many, the back side of last page or leaf or last page or leaf is under the situation of filling explanation page or leaf, when export with the duplex printing pattern, the last one side in the account ticket group is exported (with reference to Figure 20 B) as the blank sheet of paper page or leaf.
In addition, when duplicating one at every turn, or file, when electronics is broadcast, in Figure 15 and Figure 17, also can not export with the represented page or leaf of blank sheet of paper.
Like this, to two kinds of processing methods of original image registration, based on the pattern of duplicating, the method (duplicating, filing, electronics are broadcast) handled, control unit 11 is selected suitable processing method.
In execution mode 2, the ticket data that will have filling explanation is that example is illustrated, but also goes for not being the filling explanation page or leaf, but in the following description as pattern that waste paper utilized.
In recent years, from environmental problem or resources effective utilization, viewpoint such as reduce cost, duplicating firmly in (hard copy) of duplicating outside formal data or printing increased the situation of using waste paper.Under the situation of using waste paper, the information that cause has been printed on the back side is unwanted information, so the pattern that registered in advance is used as waste paper and well is set at for these unwanted information and does not handle (not duplicating, do not carry out facsimile transmission).
In e text method, in the Room, each province, criterion is arranged, sometimes according to the kind of paper text or propose the destination, regulation (restriction) reading, integrality, confidentiality, accessibility.In reading property separate provision chromatic number, resolution, γ value etc.In integrality, be requested digital electronic signature or time stamp; Be to encrypt in confidentiality; Be OCR etc. in accessibility, enumerate as the technology important document respectively.Figure 21 is the chart of example of the criterion of expression e text method.
Figure 22 is the block diagram of internal structure of the image processing apparatus of expression present embodiment.Control unit 11, memory cell 12, operating unit 13, display unit 14, image input unit 15, image output unit 16, communication unit 17 and text collation process unit 20 that the image processing apparatus of present embodiment illustrates, also comprise OCR processing unit 18, data conversion unit 19, digital electronic signature processing unit 30 in being included in execution mode 1.In addition, in communication unit 17, link certificate server 171, time stamp server 172.
For the paper text of the typing of the object that becomes e text method, the necessary condition of reading property, integrality, confidentiality, accessibility is satisfied in registration in image processing apparatus in advance.For example, for a text (being made as text A), registered in advance is RGB24 position look (each 256 tone of RGB) with reading property; Resolution is 200dpi; γ=1.0; Integrality is digital electronic signature, time stamp; Confidentiality is for encrypting; Accessibility is OCR result's a additional necessary condition.In addition, as other text (being made as text B), registered in advance is the black and white two-value with reading property; Resolution is 200dpi; Integrality is digital electronic signature, time stamp; Accessibility is OCR result's a additional necessary condition.
Below, contents processing is described.Figure 23 is the flow chart of the performed treatment step of explanation image processing apparatus.At first, the object text of electronization is scanned, by image input unit 15 reads image data (step S41).At this moment, to satisfy the condition of the above-mentioned necessary condition of registration at least, for example carry out scan process with the colored 600dpi of RGB.The view data that is read (proceeding to the view data of shading correction) stores memory cell 12 into, outputs to text collation process unit 20 simultaneously, makes its execution contexts collation process (step S42).
Figure 24 is the flow chart of the treatment step of explanatory text collation process.In the text collation process, at first,, carry out the computing (step S421) of characteristic point according to the view data of being imported.As characteristic point ground same as described above, calculated the center of gravity of connecting area.The information of the characteristic point of calculating outputs to feature amount calculation unit 22.
Characteristic point calculation unit 22 is carried out the computing (step S422) of characteristic quantity based on the information of the characteristic point of calculating in characteristic point calculation unit 21.As characteristic quantity,, calculate for the rotation that comprises image, parallelly move, enlarge the geometric constant amount (hashed value) that is changed to of dwindling based on the distance between the characteristic point.The information of the characteristic quantity that calculates outputs to ballot processing unit 23.
The result that the control unit 11 of image processing apparatus is judged in the text collation process of step S42, whether export decision signal " 1 " (step S43), be judged as (S43: "Yes"), carry out form correspondence image described later and handle (step S44) when having exported decision signal " 1 ".In addition, be judged as when not exporting decision signal " 1 " (S43: "No"), the processing of process ends.
Figure 25 is the flow chart of the treatment step of explanation form correspondence image processing.At first, need to judge whether resolution conversion (step S441).For example, resolution in the view data that obtains by image input unit 15 is 300dpi, the registered images that to judge in step S426 is made as under the situation of text A, and the resolution necessary condition of Yin Wenben A is 200dpi, needs resolution conversion so be judged as.Be judged as (S441: "Yes"), carry out resolution conversion (step S442) when needing resolution conversion.At this moment, also resolution conversion be can follow, correction, tone rendering processing of tone etc. exported.In addition, also can before resolution conversion, import tint correction, regional separating treatment, color correction, black print generation undercolour removal, space filtering processing.
At (S442) under the situation of having carried out resolution conversion or be judged as (S441: "No"), need to judge whether gamma transformation (step S443) under the situation that does not need resolution conversion.Be judged as (S443: "Yes"), carry out gamma transformation (step S444) when needing gamma transformation.
At (S444) under the situation of having carried out gamma transformation or be judged as (S443: "No"), need to judge whether black and white conversion (step S445) under the situation that does not need gamma transformation.Be judged as when needing the black and white conversion (S445: "Yes"), handle and carry out black and white conversion (step S446) by removing color transformation.In removing the color transformation processing, use above-mentioned transform Yj=0.30Rj+0.59Gj+0.11Bj, be transformed to monochrome data.
Under the situation of having carried out the black and white conversion (S446) or be judged as (S445: "No"), need to judge whether binary conversion treatment (step S447) under the situation that does not need the black and white conversion.Be judged as when needing binary conversion treatment (S447: "Yes"), use that high dither (dither) is handled, error diffusion is handled, threshold process (for example, using 128) etc., carry out binary conversion treatment (step S448) as threshold value.
At (S448) under the situation of having carried out binary conversion treatment or be judged as (S447: "No"), finish the processing of this flow process under the situation that does not need binary conversion treatment.
Form correspondence image more than having carried out is handled (S44) afterwards, shows result (step S45) in display unit 14, and whether confirm to handle suitable.For example, confirm whether resolution, tone is suitable, and whether original copy integral body is read.At this moment, also show the treatment of picture content (resolution, tone) of having carried out processing.
Then, judge whether to handle (step S46) again, be judged as under the situation that does not need to handle again (S46: "No"), the processing of process ends.Exist under the little and difficult situation that problem such as reads of the character read, be judged as and handle (S46: "Yes") again, set the contents processing (step S47) of change resolution etc. again, carry out the form correspondence image once more to handle (S44), make to obtain suitable image.
In memory cell 12, store the condition of above-mentioned contents processing in advance and carried out the image of handling, show successively and carried out the image of handling.Perhaps also can show two images side by side, to select suitable image.This processing also can be carried out in image processing apparatus, also the condition of above-mentioned contents processing and the image that has carried out handling can be sent to user's computer and make and select suitable image, with selected image be sent to image processing apparatus or arbitrarily server wait and store.
In addition, these condition enactments are except the criterion according to province's Room decision, when text is needed independent condition enactment, each text that need improve resolution is set, and, show result as described above and confirm, thereby can improve the daily working (machining) efficiency of ticket business etc.
As above, illustrated and to have read the memory cell 12 that the obtained view data of original image temporarily is stored in hard disk etc., use the view data of being stored to carry out the situation of processing afterwards, but also can be to scan and carry out the text collation process, its result, in judgement is to become under the situation of the text of the object of e text method, carries out this scanning and carries out image processing.At this moment, being treated as in text collation process unit 20 straight-through (through).
For the text of the object that becomes e text method, because of by the accessibility request OCR processing, so in OCR processing unit 18 to being carried out character recognition by the view data of binaryzation, recognition result is added to the text that is read.Be implemented the view data that OCR handles, for example in data conversion unit 19, be transformed to pdf document, be stored in the memory cell 12.
And, become the text of the object of e text method, need digital electronic signature and time stamp basically.Therefore, during the selected pattern of handling for the text of the object that becomes e text method, be set at the processing that obtains digital electronic signature and time stamp.Under the situation of the text that does not need digital electronic signature and time stamp, for example, get final product (button that for example, does not need digital electronic signature and time stamp) from the unwanted button of operating unit 13 inputs.Perhaps, set by computer under the situation of action of scanner, the setting picture input by reading conditions gets final product.
Method as the additional electron signature, have above-mentioned pdf document (satisfy the desired condition of text and be implemented above-mentioned each view data of handling), in the hashed value computing unit 30a of digital electronic signature processing unit 30, used the new hashed value of hash function to calculate and be stored in the memory cell 12, in ciphering unit 30b, use signed people's private key to make its encryption, generate digital electronic signature.At this moment, with digital electronic signature with add to the above-mentioned pdf document from the electronic identification book of certificate server 171 distribution according to digital electronic signature person's Public key in advance, be made as the view data of additional electron signature.
To time stamp also in the same manner, to above-mentioned pdf document, the hashed value that will recomputate in the hashed value computing unit 30a of digital electronic signature processing unit 30 sends to time stamp server 172.The hashed value that is sent to time stamp server 172 is encrypted by the private key of time stamp server, is sent back to the image processing apparatus that becomes time stamp, is stored in the memory cell 12.This time stamp is added in the view data of having added digital electronic signature.
And, under the situation that is required on the confidentiality to encrypt, also can use the public-key encryption mode in the same manner with above-mentioned digital electronic signature, also can use the private key encryption mode.
In common scan process, when original copy is placed on document board, when laying method departs from, in scan-data, produce the image shortcoming.In addition, for the shade at the edge of eliminating original copy, eliminate the action of document edge partial data sometimes.Under such situation, near the information (cut-off rule etc.) the document edge is impaired.So, being in the scan process of benchmark, scan with e text method, make intactly to comprise original copy.
Figure 26 is the ideograph of structure of the image read-out of expression present embodiment.Image read-out comprises: the original copy delivery unit 310 that is made of upper stand and sweep test 320 of being made of lower framework etc.
Be provided with in the original copy delivery unit 310: original copy is placed transducer 312, carries out the detection of the original copy that loaded in original copy pallet 311; Introduce wheel 313, be used for original copy is transported one at every turn; Delivery wheel 314a, 314b transmit original copy in order to read the image on the original copy; Original copy is discharged wheel 316, carries out the discharge of original copy; And original copy is discharged transducer 317, the original copy that detection is discharged from.Delivery wheel (coupling wheel) 314b has electromagnetic clutch (not shown) at driving shaft, so that become the reception and registration that can control from the actuating force of drive motors (not shown), does not stop under the state of original copy having.And, be set at, when touching, the front end of original copy sends Time Pick-off Units 315 and when this transducer has been passed on the signal of regulation, to rotate on the direction that original copy is sent to the downstream.Transporting under the state that stops of wheel 314b, the front end of the original copy that is transmitted by upstream side arrives the retained part that transports wheel 314b, original copy has been formed after the degree of disturbing of regulation, transports wheel 314b and rotates, and makes original copy is transmitted in the downstream.At this moment, according to the retained part that transports wheel 314b, the front end that coupling becomes original copy becomes the right angle at direction of transfer.
In scanner unit 320, be provided with: below document board 321, come and go the scanning element 322,323 that moves abreast; Imaging len 324; And the components of photo-electric conversion are ccd line sensor 325; Discharge pallet 326 etc.Scanning element 322 comprises: light source 322a (for example, Halogen lamp LED etc.) is used for original copy that transports from document board 321 or the original copy emission light that is loaded in document board 321; And speculum 322b etc., be used for importing to the light path of regulation from the light of original copy reflection.In addition, scanning element 323 comprises speculum 323a, the 323b etc. that are used for importing at the light of original copy reflection the light path of regulation.
Imaging len 324 makes the reverberation that imports from scanning element 323 on the position of the regulation on the ccd line sensor 325 and by imaging.Ccd line sensor 325 will be carried out opto-electronic conversion by the light image of imaging, the output signal of telecommunication.That is,, be decomposed into the data of each color component of R (red), G (green), B (indigo plant), output to graphics processing unit 230 described later based on the coloured image that reads from original copy (for example, the front of original copy).
Figure 27 is the block diagram of the internal structure of presentation video processing unit 230.Graphics processing unit 230 comprises: AD converter unit 231, shading correction unit 232, text collation process unit 233, resolution conversion unit 234, output tint correction unit 235, remove color transformation unit 236 and tone rendering processing unit 237.
The rgb signal of the simulation that AD converter unit 231 is exported the ccd line sensor 325 of above-mentioned scanner unit 320 is transformed to the signal (view data) of digital form.The rgb signal of the numeral that 232 pairs of shading correction unit send by AD converter unit 231 is used for removing the processing of the various distortions that illuminator, imaging system, camera system in scanner unit 320 produce.In addition, in shading correction unit 232, carry out the color balance adjustment.In addition, in shading correction unit 232, the reflectivity signals of RGB is transformed to concentration signal, outputs to text collation process unit 233, simultaneously the RGB concentration signal is stored in the not shown memory.
Text collation process unit 233 carries out the characteristic point computing of explanation in execution mode 1, and utilizes its result, the similarity between the text image data of judgement and registration in advance.When being judged to be the text of the object that becomes e text method, with reference to contents processing, be presented in the not shown display unit, urge user's affirmation.
The 234 pairs of rgb signals of reading by memory in resolution conversion unit use nearest neighbor method (Near rest Neighbor), bilinearity method (bilinear), twice cube method methods such as (bicubic), carry out resolution conversion.In output tint correction unit 235, using specified γ to carry out tint correction handles, as the proposition form of text and specified under the situation of black and white two-value, rgb signal being transformed to except that colour signal, in tone rendering processing unit 237, carry out binary conversion treatment except that color transformation unit 236.Under the situation that does not have designated black and white two-value, it is straight-through to remove being treated as of color transformation unit 236, tone rendering processing unit 237.
Be carried out the view data of above-mentioned processing, for example sent to the image processing system and the output of printing equipment, digit apparatus etc., or sent to prescribed server and quilt keeping.
In common scan process, when original copy is placed on document board 321, when laying method departs from, in scan-data, produce the image shortcoming.In addition, for the shade at the edge of eliminating original copy, eliminate the action of document edge partial data sometimes.Under such situation, near the information (cut-off rule etc.) the document edge is impaired.So, being in the scan process of benchmark, scan with e text method, make intactly to comprise original copy.
Figure 28 is the key diagram of the sweep limits of explanation original image.Figure 29 A and Figure 29 B are the key diagram of explanation to the laying method of document board 321.Usually, with the original copy laggard line scanning (with reference to Figure 29 A) of aliging with an end of document board 321, but in the e Text Mode, according on every side index 321a, the 321b that are documented in document board 321 original copy is arranged on document board 321, thereby can realizes not having the scanning of shortcoming.
At this moment, preferably, constitute the pattern of handling for the text of the object that becomes e text method (for example, the e Text Mode) that preestablishes, select tupe by the guidance panel of image read-out.Under the situation of the action by the computer control image read-out, also preference pattern on the setting picture of action can read.For example, using automatic manuscript handling device (ADF) when reading original copy, for ADF, at the center original image is set,, begins in advance to read corresponding to transporting regularly of original image, size than original image reads widelyer simultaneously, thereby can realize super scanning (over scan).
For the text of the object that becomes e text method, be not only text that need to select super scanning, and select, thereby also can read by super scanning for all texts that become object.
For the text of the object that becomes e text method, the pattern of handling is set, scanner is controlled, and uses text to check the setting contents processing.Under situation about original image being loaded on the document board 321, shown in Figure 29 B, original copy must be arranged on the inboard of index 321a, 321b.
Also the present invention can be applicable to the image processing system that comprises scanner device (image-input device) and print apparatus (image output device).
Figure 30 is the block diagram of internal structure of the image processing system of explanation present embodiment.The image processing system of present embodiment comprises: guidance panel 1, image-input device 3, image processing apparatus 5 and image output device 7.
The LCD etc. that guidance panel 1 comprises various switches, the button of the indication that is used to accept from the user, selection operation and shows the information of reply user notification.
Image-input device 3 is the parts that read the image of original copy optically, comprises imageing sensor to the radiative light source of the original copy that is used to read, CCD (Charge Coupled Device) etc. etc.
In image-input device 3, make reverberation look like to be imaged in this imageing sensor, output RGB (R:Red, G:Green, analog electrical signal B:Blue) from the original copy that reads the position that is arranged on regulation.The analog electrical signal that image-input device 3 is exported is imported into image processing apparatus 5.
Below, the internal structure of image processing apparatus 5 is described.Image processing apparatus 5 comprises: AD converter unit 50, shading correction unit 51, input tint correction unit 52, regional separation processing unit 53, text collation process unit 54, color correction unit 55, black print generate undercolour removal unit 56, space filtering processing unit 57, output tint correction unit 58 and tone rendering processing unit 59.
The picture quality adjustment that substrate concentration or contrast etc. are removed in input tint correction unit 52 is handled.Zone separation processing unit 53 is any zone in character zone, dot area, photo zone according to rgb signal with each pixel separation in the input picture.Zone separation processing unit 53 is based on separating resulting, the black print that the regional identification signal which zone remarked pixel is belonged to outputs to the back level generates undercolour removal unit 56, space filtering processing unit 57 and tone rendering processing unit 59, will directly output to the text collation process unit 54 of back level from the input signal of input tint correction unit 52 outputs simultaneously.
By the treatment step identical with execution mode 1, text collation process unit 54 carries out the characteristic point computing, and uses its result, judge with the registered images of in advance registering between similarity.Be judged as similarly, and be set under the situation of contents processing, contents processing is being presented at the display unit of guidance panel 1, impelling the user to import,, implementing to handle based on the result who is imported.Also text collation process unit 54 and input tint correction unit 52 can be set up in parallel, rather than be arranged on the back level of regional separation processing unit 53.
Generate an example of handling as black print, have by profile black (skeleton black) and carry out the method (conventional method) that black print generates.In the method, the input-output characteristic of contour curve is made as y=f (x), the data that will be transfused to are made as C, M, Y, the data of output are made as C ', M ', Y ', K ', UCR is led (UCR:Under Color Removal) when being made as α (0＜α＜1), by representing that with following formula black print generates undercolour removal and handles.
K′＝f{min(C，M，Y)}
C′＝C-αK′
M′＝M-αK′
Y′＝Y-αK′
Space filtering processing unit 57 is for the view data that generates the CMYK signal of being imported undercolour removal unit 56 by black print, based on regional identification signal, carry out handling by the space filtering of digital filter, handle by the correction space frequency characteristic, to prevent the fuzzy or granular deterioration of output image.
For example, in regional separation processing unit 53, be separated into the zone of character, especially, in order to improve the reproducibility of black character or color character, by the clear enhancement process in the space filtering processing of space filtering processing unit 57, high-frequency enhancing is enhanced.Simultaneously, in tone rendering processing unit 59, selected binaryzation or the many-valuedization processing that is suitable for the high-resolution screening of high-frequency reproduction.In addition, about in regional separation processing unit 53, being separated into the zone of dot area, in space filtering processing unit 57, be used to remove the low-pass filtering treatment of input site component.And, in output tint correction unit 58, the characteristic value of having carried out signal transformation with concentration signal etc. and be image output device 7 is after the output tint correction of dot area percentage is handled, carry out tone rendering at tone rendering processing unit 59 and handle, this tone rendering is handled and finally is treated to separation of images is that pixel also can be reproduced tone separately.In addition, about in regional separation processing unit 53, being separated into the zone of photo, the binaryzation or the many-valuedization processing of the screening (screen) of tone rendering have been paid attention to.
Carried out each above-mentioned view data of handling, temporarily be stored in the memory unit (not shown), read and be input to image output device 7 in predetermined timing.In addition, above control is by not shown CPU control.
In addition, image processing system also can comprise communicator.Communicator for example is to be made of modulator-demodulator or network interface card.Communicator is by network interface card, LAN cable etc., and is connected other devices (for example, personal computer, server, other digit apparatus etc.) on the network and carries out data communication.
In addition, communicator is when sending view data, during the state that carries out process of transmitting with the other side destination and guaranteed to send, read with the compressed view data of form (view data that can read by scanner) of regulation from memory, the processing of the needs of enforcement change compressed format etc. sends to the other side destination successively by communication line.
In addition, communicator communicates process when receiving view data, receive the view data of sending from the other side destination simultaneously and be input to image processing apparatus 5.The predetermined process that the view data that is received is carried out extension process, rotation processing, resolution conversion processing, output tint correction, tone rendering processing etc. by image processing apparatus 5 is by image output device 7 outputs.In addition, also the view data that is received can be kept at storage device (not shown), image processing apparatus reads and carries out the processing of afore mentioned rules as required.
In the present embodiment, the example of so-called colored compounding machine has been described, but can certainly has been the black and white compounding machine.
In the present embodiment, the mode that image processing apparatus is applicable to picture unit is described.
Figure 31 is the block diagram of internal structure of the picture unit of explanation present embodiment.The guidance panel 1 that the picture unit of present embodiment illustrates, image-input device 3, the image output device 7, also comprise image processing apparatus 6 and communicator 9 in being included in execution mode 4.
By the treatment step identical with execution mode 1, text collation process unit 63 carries out the characteristic point computing, and uses its result, judge with the registered images of in advance registering between similarity.Be judged as similarly, and be set under the situation of contents processing, contents processing is presented at the display unit of guidance panel 1, the input of urging the user based on the result who is imported, is implemented to handle.
Zone separation processing unit 64 is any zone in character zone, dot area, photo zone for the view data of 62 outputs from concentration conversion process unit with each pixel separation.Zone separation processing unit 64 is based on separating resulting, the regional identification signal that remarked pixel is belonged to which zone outputs to space filtering processing unit 65 and halftone process unit 68, will directly output to the space filtering processing unit 65 of back level simultaneously by the input signal that concentration conversion process unit 62 is exported.
Space filtering processing unit 65 is for the view data by regional separation processing unit 64 outputs, based on regional identification signal, carry out handling, by the correction space frequency characteristic by the space filtering of digital filter, handle, to prevent the fuzzy or granular deterioration of output image.
The first resolution conversion unit 66a carries out the processing of the resolution of the input image data that will read by image-input device 3 according to the resolution conversion of image output device 7.As processing method, for example use the single order interpolation.Under the situation of using facsimile function, do not carry out processing at the first resolution conversion unit 66a.
Output LUT processing unit 67 is with reference to LUT, for by the data of resolution conversion, carries out the tint correction of the characteristic (under the situation of ink-jetting style) of characteristic (under the situation of electronic photo mode) corresponding to employed toner or ink.This correction is the nonlinear correction of carrying out for the tone in image output device 7.
When sending fax, the view data of having been carried out binaryzation by halftone process unit 68 is sent to the second resolution conversion unit 66b.The second resolution conversion unit 66b carries out the processing of resolution conversion as required.Also can carry out the rotation processing unit of the rotation processing of view data the back level setting of the second resolution conversion unit 66b.Compression/extension processing unit 69 compresses view data of being crossed by binaryzation or the view data that has been carried out resolution conversion with the form of regulation, and is stored in the not shown memory.
Communicator 9 for example is a modulator-demodulator, carries out the process of transmitting with the other side destination.Under the situation of the state of having guaranteed to send, will view data from above-mentioned memory, read under the state with the form compression of regulation, carried out sending to the other side destination successively by communication line after the processing that the change etc. of compressed format needs.
In addition, when receiving faxes, communicator 9 is received in the view data of sending from the other side destination under the state that is compressed to prescribed form.The view data that is received is imported into image processing apparatus 6.The view data that is imported into image processing apparatus 6 is drawn together by the processing in compression/extension processing unit 69 opens, thereby is sent out the original image that comes and reproduced as the page or leaf image.
Reproduced original image is rotated processing according to the ability of image output device 7, carries out resolution conversion at the second resolution conversion unit 66b and handles.As the image of page or leaf unit and reproduced view data is output by image output device 7.
More than, represented to handle the example of the situation of monochromatic view data, but also can be, for example, between regional separation processing unit 64 and space filtering processing unit 65, comprise color image processing apparatus, this color image processing apparatus comprises: the color correction unit, for the rgb signal that reads by image-input device 3, in order to carry out color reproduction truly, carry out processing based on the look turbid removal of the dichroism that comprises CMY look material unwanted absorption component, toner or ink; And black print generates the undercolour removal unit, and according to the tristimulus signal of the CMY after the color correction, the black print that generates black (K) signal generates, and generates to deduct by black print from original C MY signal to generate new CMK Signal Processing behind the resulting K signal.
Having stored the program code storage medium (execute form program, intermediate code program, source program), that can read on computers that will be used to make the computer execution, can store and carry out the image processing method that control was checked and exported to above-mentioned text.In the present embodiment, illustrate, realize above-mentioned image processing method by carrying out from the program code that recording medium read.
Figure 32 is the block diagram of the internal structure of expression image processing apparatus that the program code that is stored in the storage medium is read and carries out.100 is image processing apparatus of present embodiment among the figure, specifically, is computer, work station etc.Image processing apparatus 100 comprises CPU101, and among the CPU101, the hard disk of ROM103, RAM104, hard disk 105, external memory unit 106, input unit 107, display unit 108, communication interface 109 etc. is connected by bus 102.CPU101 controls above-mentioned hard disk each several part according to the control program that is stored in ROM103 in advance.
RAM104 temporarily is stored in above-mentioned control program or the volatile memory of the various data that generated in the execution of above-mentioned program code.Hard disk 105 is the memory units that comprise the magnetic-type storage medium, is storing program code that reads from recording medium M etc.External memory unit 106 comprises reading device, and this reading device is used to make computer to carry out the recording medium M program code read of the program code of above-mentioned image processing method from having stored.As recording medium M, can use FD (FlexibleDisk), CD-ROM etc.The program code that is read by external memory unit 106 is stored in hard disk 105.CPU101 downloads to by the program code that will be stored in hard disk 105 and makes its execution on the RAM104, thereby device integral body is had as the function of carrying out the determination processing of explanation in execution mode 1, exporting under the situation of processing based on the original image similar, carrying out the processing that is associated with this registered images to the registered images of registered in advance.
Input unit 107 has as the function that is used to obtain from the interface of the view data of outside.In input unit 107, for example be connected chromoscan device etc.Display unit 108 has as the function that is used for showing the interface of the view data of process object, the view data of image processing, the view data after the image processing etc.Also can constitute, the outside real device that connects LCD device etc. at display unit 108 is come display image data, also can be that display unit 108 itself has display unit, display image data.Communication port 109 is the interfaces that are used for externally connecting printer 150.Under printer 150 was printed by the situation of the view data of image processing, image processing apparatus 100 was based on described view data, and generation can be in the print data of printer 150 decodings,, and the print data that is generated sent to printer 150.
In addition, in the present embodiment, be the structure that CPU101 carries out various computings, but its structure also can be, the chip of the special use of the computing of carrying out relevant image processing is set in addition, carry out computing by indication from CPU101.
In addition, as the recording medium M of the above-mentioned program code of storage, except utilizing above-mentioned FD and CD-ROM, also can utilize the CD of MO, MD, DVD etc.; The magnetic-type storage medium of hard disk etc.; The cassette storage medium of IC-card, storage card, light-card etc.; Semiconductor memory based on mask rom, FPROM (Erasable Programmable Read Only Memory), EEPROM (Electrically ErasableProgrammable Read Only Memory), flash ROM etc.In addition, by being connected to the system configuration of the communication network that comprises the internet, also can be from the above-mentioned program code of downloaded.In addition, like this under the situation of downloaded program code, the program that it is used to download also can be to be stored in advance in the host apparatus, and perhaps the storage medium from other is mounted.
In addition, above-mentioned computer program also can be, as the application program of monomer, utility program and the mode that is provided also can be application program, the utility program of being installed to other, has as the function of the part of this program and the mode that is provided.For example, as an one execution mode, considered to be enclosed in the mode that provides in the printer apparatus.
Execution mode 9
Figure 33 is the integrally-built ideograph of the image processing system of expression present embodiment.As shown in figure 33, the image processing system of present embodiment be by network N be connected server 70, compounding machine (MFP) 10A, 10B ..., printer 81A, 81B ..., facsimile machine 82A, 82B ..., scanner 85A, 85B ..., etc.
Figure 34 is the block diagram of the internal structure of expression MFP10A (10B) of execution mode 9 and server 70.MFP10A (10B) comprising: control unit 11, memory cell 12, operating unit 13, display unit 14, image input unit 15, image output unit 16, communication unit 17 and text collation process unit 20.This internal structure is given the label identical with Fig. 1 to identical structural detail and is represented with roughly the same in the internal structure of the image processing apparatus shown in the execution mode 1.
For the function of MFP, when MFP is connected to network N, the information of MFP is read server 70, the manager is registered to function list 73c.When having replaced MFP, carry out the comparison of function, the information of update functions list 73c.New additional function is being arranged, and using under the situation that this function handles, registering this intention, in addition, on the contrary, when having lost some functions, registering this function is invalid intention.Under can not the situation of function of use, also can show this intention at the display unit of MFP.
Figure 36 is the flow chart of the step of the performed processing of explanation server 70.When having asked the transmission of contents processing decision table 73a, hash table 73b from MPF, server 70 is with reference to function list 73c (step S5 1), extraction sends the information (step S53) of contents processing decision table 73a, hash table 73b, invalid flag for the information (step S52) of the invalid flag of the function of each MFP to the MFP of request destination.
Figure 37 is the flow chart of the step of the performed processing of explanation MFP10A.MFP10A sends request for server 70, obtains the information (step S61) of (download) contents processing decision table 73a, hash table 73b, invalid flag.As described above, these tables and information are the timings at the power turn-on of MFP10A, have perhaps upgraded the timing of marking the content of 73a, 73b at server 70 and have been downloaded.The table of being downloaded is stored in memory cell 12 (table of being stored is made as contents processing decision table 12a, hash table 12b respectively).
Then, with execution mode 1 in the same manner, carry out the computing (step S62) of characteristic point for the view data of being imported by image input unit 15.Calculate the center of gravity of connecting area as characteristic point.The information of the characteristic point of calculating outputs to characteristic point calculation unit 22.
Feature amount calculation unit 22 is carried out the computing (step S63) of characteristic quantity based on the information of the characteristic point of calculating in characteristic point calculation unit 21.As characteristic quantity,, calculate hashed value based on the distance between the characteristic point.The information of the characteristic quantity that calculates outputs to ballot processing unit 23.
The control unit 11 of MFP10A is based on the result of determination in similarity determination processing unit 24, judge the original image imported whether to specified image (registered images) similar (step S66).(S66: " is under the original image that the is judged as input situation similar to specified image (registered images) "), control unit 11 is read the contents processing corresponding with original image (step S68) with reference to the contents processing decision table 12a (step S67) that is stored in memory cell 12.Then, according to the contents processing of being read, carry out output and handle (step S69).In addition,, be set based on the invalid flag of sending by server 70 for the contents processing that MFP10A possessed so that handle invalid.
On the other hand, be judged as (S66: "No"),,, carry out output and handle (S69) under the original image and the dissimilar situation of specified image (registered images) that step S56 is imported based on the contents processing of being imported by the operating unit 13 of MFP10A.
And control unit 11 judges whether the processing of all original images finishes (step S70), is being judged as processing (S70: "No"), handle turning back to step S62 when not finishing.(S70: "Yes"), finish the processing of this flow process when the processing that is judged as all original images finishes.
Contents processing decision table 73a, hash table 73b except download to MFP10A, 10B ..., also can download to printer 81A, 81B ... facsimile machine 82A, 82B ... scanner 85A, 85B....At this moment, function list 73c append printer 81A, 81B ... facsimile machine 82A, 82B ... the function of scanner 85A, 85B..., control and get final product.
In execution mode 9, constitute the contents processing decision table 73a that will be stored in the server 70, hash table 73b downloads to MFP10A (10B), similarity determination processing based on the original image of importing at MFP10A (10B), carry out the decision of contents processing, but also can, with contents processing decision table 73a, hash table 73b is stored in the server 70, MFP10A, 10B, printer 81A, 81B etc. send to server 70 with characteristic quantity, carrying out similarity at server 70 judges, be judged to be original image when similar to registered images, with reference to contents processing decision table 73a and function list 73c, send contents processing (when having invalid processing, also comprising the information of invalid flag) from server 70.
Figure 38 is the block diagram of the internal structure of expression MFP10A (10B) of execution mode 10 and server 70.The hardware configuration of MFP10A (10B) identical with shown in the execution mode 9, but because structure in the present embodiment is, till MFP10A (10B) carries out the computing of characteristic quantity, so text collation process unit 20 does not have ballot processing unit 23 and similarity determination processing unit 24.
On the other hand, server 70 also comprises the text collation process unit 74 with ballot processing unit 74a and similarity determination processing unit 74b except comprising server controls unit 71, communication unit 72, server storage unit 73.Contents processing in ballot processing unit 74a and similarity determination processing unit 74b is identical with the ballot processing unit 23 and the similarity determination processing unit 24 of explanation in execution mode 1, so omit its explanation.
Figure 39 is the flow chart of the step of the performed processing of explanation MFP10A, and Figure 40 is the flow chart of the step of the performed processing of explanation server 70.MFP10A and execution mode 1 carry out the computing (step S71) of characteristic point in the same manner for the view data of being imported by image input unit 15.Calculate the center of gravity of connecting area as characteristic point.The information of the characteristic point of calculating outputs to feature amount calculation unit 22.
Feature amount calculation unit 22 is carried out the computing (step S72) of characteristic quantity based on the information of the characteristic point of calculating in characteristic point calculation unit 21.As characteristic quantity,, calculate hashed value based on the distance between the characteristic point.MFP10A sends to server 70 (step S73) with the characteristic quantity of calculating.
When server 70 receives from the characteristic quantity that MFP10A sends (step S81), the ballot processing unit 74a of server 70 is based on the characteristic quantity (hashed value) that receives, the hash table 73b that retrieval is stored in server storage unit 73 carries out (step S82) handled in the ballot of the original copy ballot of the index of registration.And based on the voting results at ballot processing unit 74a, similarity determination processing unit 74b carries out similarity determination processing (step S83).
The server controls unit 71 of server 70 is based on the result of determination at similarity determination processing unit 74b, judge judge object original image whether to specified image (registered images) similar (step S84).(S84: "Yes") under the original image that is judged as the judgement object situation similar to specified image (registered images), the contents processing corresponding with original image (step S86) read with reference to the contents processing decision table 73a (step S85) that is stored in server storage unit 73 in server controls unit 71.
And server controls unit 71 extracts the information (step S88) for the invalid flag of the contents processing of being read with reference to the function list 73c (step S87) of storage in server storage unit 73.
Then, will and in step S88, extract to such an extent that the information of invalid flag sends to MFP10A (step S89) at contents processing that step S86 read.In addition, in step S84, be judged as judge object original image during with specified image (registered images) dissmilarity (S84: " deny "), will not have the result of determination of similar original copy to send to MFP10A.
MFP10A is (step S74) when receiving the information of contents processing and invalid flag, handles (step S75) based on these information and executing outputs.
Then, the control unit 11 of MFP10A judges whether the processing of all original images finishes (step S76), is being judged as processing (S76: "No"), handle turning back to step S71 when not finishing.(S76: "Yes"), finish the processing of this flow process when the processing that is judged as all original images finishes.
In addition, in the present embodiment, only download the contents processing corresponding, so also can need not function list 73c with original image, whether the function of contents processing that relatively is downloaded and MFP10A (10B) itself is invalid in MFP10A (10B) side judgment processing content.In server 70, when not having similar original image, according to the decision signal of this intention, the contents processing based on importing by guidance panel in MFP10A (10B) side carries out the processing of original image.
As other execution mode, also can constitute, stores processor content decision table 73a, hash table 73b in server 70, only hash table 73b is downloaded to MFP10A, 10B ..., printer 81A, 81B ....At this moment, MFP10A, 10B ..., printer 81A, 81B ... carry out similar judgement in waiting, be judged to be original image when similar, access server 70 and, obtain the information of contents processing from server 70 with reference to contents processing to registered images.
Figure 41 is the block diagram of the internal structure of expression MFP10A (10B) of execution mode 11 and server 70.For hardware configuration, identical with the structure shown in the execution mode 9, but in the present embodiment, MFP10A only downloads hash table 73b from server 70 and stores memory cell 12 (table that will be stored in memory cell 12 is made as hash table 12b) into.
Figure 42 is the flow chart of the step of the performed processing of explanation MFP10A, and Figure 43 is the flow chart of the step of the performed processing of explanation server 70.At first, server 70 is sent request, obtain the hash table (step S101) that (download) is stored in server 70 by MFP10A.Obtained hash table 73b is stored in memory cell 12.
Then, with execution mode 1 in the same manner, carry out the computing (step S102) of characteristic point about the view data that is transfused to by image input unit 15.Calculate the center of gravity of connecting area as characteristic point.The information of the characteristic point of calculating is output to feature amount calculation unit 22.
Feature amount calculation unit 22 is carried out the computing (step S103) of characteristic quantity based on the information of the characteristic point of calculating in characteristic point calculation unit 21.As characteristic quantity, calculate hashed value based on the distance between the characteristic point.The information of the characteristic quantity that calculates is output to ballot processing unit 23.
The control unit 11 of MFP10A is based on the result of determination in similarity determination processing unit 24, judge the original image imported whether to specified image (registered images) similar (step S106).(S106: "Yes"), control unit 11 will represent that the index of original copy sends to server 70 (step S107) under the original image that the is judged as input situation similar to specified image (registered images).
When MFP10A receives from the contents processing that server 70 sends (step S108), the contents processing that received and the function of MFP itself are compared, the function that is not had invalid (step S109).Then, MFP10A carries out output and handles (step S110) according to the contents processing that is received.In addition, when being judged as original image in step S106 input with specified image (registered images) dissmilarity (S106: "No"), based in MFP10A (10B) side by the contents processing that guidance panel is transfused to, export processing (S110).
Then, the control unit 11 of MFP10A judges whether the processing of all original images finishes (step S111), is being judged as processing (S111: "No"), handle turning back to step S102 when not finishing.(S111: "Yes"), finish the processing of this flow process when the processing that is judged as all original images finishes.
Claims (14)
1. image processing apparatus comprises:
The output processing unit based on by reading the original image acquired image data, is carried out output and is handled;
Memory cell will be stored explicitly by this contents processing and specified image of exporting the performed output processing of processing unit;
Judging unit based on described view data, judges whether described original image is specified image;
Sensing element is under the situation of specified image in described judgment unit judges, reads the contents processing of storing explicitly with this specified image from described memory cell; And
Control unit, according to the contents processing of being read, the output that control is carried out by described output processing unit is handled.
2. image processing apparatus as claimed in claim 1 also comprises:
Accept the unit, the change of the contents processing that acceptance should be carried out; And
The change unit, the history of the change that storage is accepted, and, be updated in the contents processing of storing in the described memory cell according to stored historical.
3. image processing apparatus as claimed in claim 1, wherein,
Described contents processing comprises to be forbidden based on the processing of the image of described view data output or will be replaced into other images based on the image of described view data and the processing of exporting.
4. image processing apparatus as claimed in claim 3, wherein,
The tupe that described control unit is handled based on described output is selected to forbid based on the processing of the image output of described view data or will be replaced into other images based on the image of described view data and the processing of exporting.
5. image processing apparatus as claimed in claim 1, wherein,
Described contents processing comprises: conversion based on the processing of the resolution of the image of described view data, adjust processing, will be transformed at least one in handling except that the processing of colour signal or based on the tone rendering of described view data based on the colour signal of described view data based on the tone characteristic of the image of described view data.
6. image processing apparatus as claimed in claim 5, wherein,
Described control unit shows described contents processing and the image that carried out based on described contents processing handling impels the user to confirm, be judged as under inappropriate situation the user, change is carried out described processing after being judged as at least one contents processing among inappropriate described contents processing once more.
7. image processing apparatus as claimed in claim 5, wherein,
Described contents processing also comprises: to the processing of giving digital electronic signature based on the image of described view data, to the processing of giving time stamp based on the image of described view data, will be based on the processing of the image encryption of described view data with in the processing of giving the character identification result that described view data is finished based on the image of described view data at least one.
8. image processing apparatus as claimed in claim 1 also comprises:
The characteristic quantity memory cell, the characteristic quantity of store predetermined image;
Feature amount calculation unit based on described view data, is calculated the characteristic quantity of the feature be used to represent described original image; And
Comparing unit compares characteristic quantity of calculating and the characteristic quantity of representing the feature of described specified image,
Wherein, described judging unit judges based on the comparative result of described comparing unit whether described original image is specified image.
9. image processing apparatus as claimed in claim 8 also comprises:
The extracted region unit extracts a plurality of zones that are made of the element of the same race in the described original image; And
The center of gravity calculation unit calculates each regional center of gravity of being extracted,
Wherein, based on the configuration of the center of gravity of calculating, calculate the characteristic quantity of described original image.
10. image processing apparatus as claimed in claim 8, wherein,
Described characteristic quantity is for the rotation that comprises described original image, parallelly move, enlarge the geometric variation dwindled and constant parameter.
11. image processing apparatus as claimed in claim 8, wherein,
Described characteristic quantity is for the rotation that comprises described original image, parallelly move, enlarge the geometric variation dwindled and constant parameter,
Described judging unit is voted to the specified image with characteristic quantity consistent with described characteristic quantity of calculating, and will compare each specified image result who votes and the threshold value that is predetermined, thereby judges whether described original image is specified image.
12. an image processing system comprises:
The described image processing apparatus of each of claim 1～11; And
Image formation unit will be formed on the sheet material by the handled image of this image processing apparatus.
13. image processing system as claimed in claim 12, wherein,
Described image processing system has tupe, under the situation of described original image being carried out electronic dataization based on predetermined form and preserving, reads described original image, to satisfy described form.
14. an image processing system comprises:
Image processing apparatus; And
Server for this image processing apparatus, can be connected, wherein communicatedly
Described image processing apparatus and server comprise with lower member with distribution mode:
Memory cell, contents processing and specified image in the time of will carrying out the output processing based on view data are stored explicitly, and above-mentioned view data obtains by reading original image;
Judging unit based on described view data, judges whether described original image is specified image;
Sensing element is under the situation of specified image in described judgment unit judges, reads the contents processing of storing explicitly with described specified image from described memory cell; And
Control unit, according to the contents processing of being read, control output is handled.
Applications Claiming Priority (4)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP253091/06 | 2006-09-19 | ||
| JP2006253091 | 2006-09-19 | ||
| JP150811/07 | 2007-06-06 | ||
| JP230558/07 | 2007-09-05 |
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| CN101150647A true CN101150647A (en) | 2008-03-26 |
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| CNA2007101547862A Pending CN101150647A (en) | 2006-09-19 | 2007-09-19 | Image processing device, image forming device and image processing system |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102256038A (en) * | 2010-05-21 | 2011-11-23 | 虹光精密工业（苏州）有限公司 | Scanning device with multiple aligning marks |
| WO2014134890A1 (en) * | 2013-03-05 | 2014-09-12 | 广州广电运通金融电子股份有限公司 | Image processing device and image data correction method |
| CN104102686A (en) * | 2013-04-12 | 2014-10-15 | 三星电子株式会社 | Method of managing image and electronic device thereof |
| CN109542849A (en) * | 2012-09-16 | 2019-03-29 | 吴东辉 | A kind of image file format and generation method and device and application |
| CN112380899A (en) * | 2020-09-30 | 2021-02-19 | 深圳点猫科技有限公司 | Method, device and equipment for recognizing text in advertisement image |
-
2007
- 2007-09-19 CN CNA2007101547862A patent/CN101150647A/en active Pending
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102256038A (en) * | 2010-05-21 | 2011-11-23 | 虹光精密工业（苏州）有限公司 | Scanning device with multiple aligning marks |
| CN109542849A (en) * | 2012-09-16 | 2019-03-29 | 吴东辉 | A kind of image file format and generation method and device and application |
| WO2014134890A1 (en) * | 2013-03-05 | 2014-09-12 | 广州广电运通金融电子股份有限公司 | Image processing device and image data correction method |
| CN104102686A (en) * | 2013-04-12 | 2014-10-15 | 三星电子株式会社 | Method of managing image and electronic device thereof |
| CN112380899A (en) * | 2020-09-30 | 2021-02-19 | 深圳点猫科技有限公司 | Method, device and equipment for recognizing text in advertisement image |
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