JPH0228771A - Picture processing system and picture data correcting method - Google Patents

Abstract

PURPOSE:To prevent the deterioration of the part of an original picture other than the part having been retouched when picture data stored in a memory or a file is printed once and is corrected and is inputted again by extracting only the part having been retouched newly. CONSTITUTION:A sheet 200 on which information 230 is drawn is inputted from a picture inputting device 1, and is registered as a picture 201 in the prescribed area of the file 3. When the partial correction of the picture 201 becomes necessary, the picture is read out to the memory 7 from the file 3 by designating a picture number, etc., from a keyboard 6. The information 230 on the read out picture 201 is turned into a mesh point, and is outputted by a printer 2, and becomes the sheets 204, and is retouched by correction information 232, and a corrected picture 205 is obtained. When a part of the picture 201 is desired to be deleted, a mark is written on the picture 205 so as to surround the part to be an object to be deleted, and it is inputted from the device 1. By giving mesh point eliminating processing to the inputted corrected picture 206, a corrected part picture 208 in which only the mark is left is obtained.

Description

DETAILED DESCRIPTION OF THE INVENTION [Field of Industrial Application] The present invention relates to an image processing system and an image data correction method, and more particularly to an image file system or a workstation equipped with an image input device and an image memory. The present invention relates to an image addition and partial deletion method suitable for modifying stored images in image processing systems such as , copy machines, and facsimile machines.

[Conventional technology]

In recent years, document image files and
Systems (electronic files) are attracting attention as a new means of document management. Optical discs have a large capacity and can record image data, so they can be used to store blueprints, documents, contracts, etc.
Other document image information can be stored. An example of this type of system is the one published by the magazine Nikkei Electronics.
There is a system described on pages 105 to 120 of the March 28, 1998 issue.

When storing image data such as design drawings in such an image file system, it is often necessary to correct already registered images. In the conventional system described above, to correct a registered image, the user usually prints the registered image on a printer, corrects the image on paper, inputs it again on the image input device, and creates a new file. The method of registration is adopted.

Recently, it has become possible to connect image scanners to workstations and personal computers at low cost. for example,
An example is shown on pages 260-263 of the June 15, 1988 issue of Nikkei Byte. Computers that were integrated with facsimile machines also appeared. An example is shown in the February 1988 issue of Nikkei Byte, pages 141-146. Even in these systems, that is, systems that have sufficient memory capacity to process image data and an image scanner, conventionally, when correcting an image in memory, the image is The method used is to print out the information, correct it on paper, and input it again from the image input device.

[Problem to be solved by the invention]

The above conventional technology does not take into account the deterioration of image quality due to printing and image input, and when correcting an image, there is a problem that the deterioration of the image quality becomes noticeable every time printing → correction → re-registration is repeated. Ta.

In other words, unless the image densities of the printer and image input device match exactly, repeating the above-mentioned printing and re-registration process may result in the size of the design drawing being enlarged or reduced each time corrections are made, or the lines may become thicker. This resulted in problems such as the characters becoming too thin and blurring. Also,
Due to errors in digitization by the image input device, the smoothness of line information deteriorates and noise information increases.

Therefore, if the drawing correction is repeated n times, the first original image passes through the image input device n+1 times and the printer 0 times, and there is a problem that the image quality deteriorates as n increases.

An object of the present invention is to correct the image stored in a file device or memory and eliminate the image quality deterioration that occurs when re-registering the image.

[Means for Solving the Problems] In order to achieve the above object, the image processing system of the present invention includes a memory means for storing document information as first image data, and a memory means for storing document information as first image data. The first step is to output the original information obtained by performing the conversion process on the correction sheet.
and a second means for reading the information on the correction sheet to which new correction information has been added as second image data, and performing a second conversion process on the second image data. A third means for converting into third image data from which original information has been removed; and a fourth means for synthesizing corrected image data based on the third image data and the first image data. Features.

Further, the image correction method according to the present invention includes a first step of performing a first conversion process on electronic first image data to be corrected and outputting it as manuscript information on a correction sheet; A second switch that adds correction information to the paper and inputs the information on the correction paper as second image data, and a second switch that applies a second conversion process to the second image data and removes the original information. a third step of creating image data No. 3; and a third step of creating fourth image data in which the content of the third image data is partially corrected from the first image data and the third image data. 4 steps.

[Effect]

In the present invention, the first conversion process is for making it possible to distinguish the original image information represented by the first image data from the correction information that the user inputs later, and for example, converts the original image into halftone dots. A typical example is the process of In this case, since original information obtained by halftone dotting the original image is printed on the correction paper, the user uses the correction paper to print the information (for example, characters) on the memory.

Understand the content or positional relationship of (figures) and enter information for adding or deleting content.

Halftone processing involves regularly thinning out the black pixels on the original image and discretizing the black pixels, so when the information on the correction sheet is read and made into second image data, this second By performing the second conversion process to remove regularly discrete black pixels included in the image data, it is possible to selectively extract only the correction information entered by the user. Therefore, in the case of additional correction, the corrected image data is calculated by performing a logical sum with the above correction information, and in the case of deletion correction, the information of the partial area indicated by the above correction information is excluded from the original image. Obtainable. The corrected image obtained in this way is composed only of image data that has passed through the input device only once, so even if corrections are made several times,
Image quality deterioration is extremely small.

Incidentally, in the present invention, the first conversion process includes a form other than the above-mentioned halftone conversion, for example, a form other than the removal of visible discrete points in the original image, such as removal of points of a specific color, etc. May include examples.

[Embodiment] An image file system using an optical disk, which is an embodiment of the present invention, will be described below with reference to the drawings.

FIG. 1 is a block diagram showing the overall configuration of an image file system according to a first embodiment of the present invention. This system includes an image input device 1 such as an image scanner, a television camera, etc., a printer 2 for printing image data, and an optical disk device 3 for recording and reproducing image data.
a display device 4 for displaying image data; a data processing device 5 that operates according to an internally stored program;
A keyboard 6 for inputting code data, commands, etc., and a memory 7 for temporarily storing image data.
12 and a bus 13 that interconnects these elements.

FIG. 2 is a diagram schematically showing the process of initial registration of an image, correction of a registered image, and re-registration of a corrected image according to the present invention using the above image file system. In the figure, rectangular blocks represent images, of which the one shown with the lower right corner turned over is on paper, and the others represent images on memory. Information 230 (letter A in this example)
The paper surface 200 on which is drawn is input from the image input bag W1,
It is registered as an image 201 in a predetermined area of file 3. When it is necessary to partially correct the registered image 201, the registered image is read out from the optical disk device 3 into the memory 7 by specifying an image number or keyword and inputting a search command from the keyboard 6. In this embodiment, information 23 on the original image 201 read into the memory 7
An image 203 is formed on the memory 8 by halftone dotting 0 using a method described later and further adding a rectangular frame 231 as a mark for alignment. Furthermore, during the writing process of the rectangular frame 231, all black pixels in the area outside the frame may be converted to white pixels in order to facilitate the frame detection process described later.

The halftone image 203 is output by a printer as document information and becomes a paper surface 204. The paper surface 204 is a content correction sheet, and correction information 232 is added to it to obtain a corrected image 205.

The corrected image 205 is stored in the memory 9 from the image input device 1 as the image 2.
06. Image 206 is different from image 203 in the size and inclination of information 203'. That is, as described above, if the pixel density of the image input device 1 is higher than the pixel density of the printer 2, the image 206
If the pixel density of printer 2 is higher, the information in image 206 will be smaller than that in image 203. Further, the tilt of the image is caused by the skew of the paper when it passes through the input device 1. Therefore, in the present invention, the size and inclination of the image 206 are normalized using the rectangular frame 231', and a normalized image 207 having the same size and the same inclination as the image 203 is obtained in the memory 10. after that,
Halftone dots 203' and rectangular frame 231 included in image 207
' is deleted, and a corrected partial image 208 is obtained in the memory 11.

Since the image 208 includes only the correction information 232', by combining it with the image 201', a corrected image 210 can be obtained in the memory 12, which can be used as the original image 20.
The image is stored in the optical disk device 3 as a new image in place of image 1. The original image 201 may be left as is on the optical disk and used as a base sheet for other corrected drawings.

Figure 3 is a flowchart of print processing for image correction.
00 is a step of searching the image 201 registered in the optical disk device 3 and storing it in the memory 7, 302 is a step of halftone dotting the read original image 201', 304
3 is a step of adding re-registration information 231 such as frame shape, etc.
06 is a step for printing the framed image 203 and obtaining a correction sheet 204.

FIG. 4 is a flowchart of the corrected image re-registration process, with 350
is the page 205 obtained by adding the corrected part to the correction sheet 204
is input from the image input device 1 to obtain the image 206. 352 is a step of normalizing the inclination and size of the image 206 to obtain the image 207. 354 is a step of erasing the halftone dots and rectangular frame of the image 207 to correct the corrected portion. obtaining an image 208;
356 is a step of searching the original image 201 corresponding to the normalized image 207, 358 is a step of combining the corrected partial image 208 and the original image 202 to obtain one corrected image 210, and 360 is a step of searching the original image 201 corresponding to the normalized image 207. The data is stored in the disk device 3.

5 to 9 are program flowcharts showing details of the tilt/size correction of the corrected image performed in step 352 of FIG. 4. Hereinafter, the process of normalizing the image 206 in FIG. 2 using the rectangular frame 231' to obtain the image 207 will be described as an example.

Detection of the straight lines forming the rectangular frame 231' can be performed using various conventionally known methods, one of which is the known Hough transformation.

FIG. 5 is a program flowchart for detecting the vertical line located on the left among the four straight lines of the rectangular frame 231'.
The figure is an explanatory diagram thereof. In Figure 6, the formula j=xsinθ+
ycosO is the equation of the straight line to be found, 1, j is the distance from the origin 0, and θ is the slope of the straight line. A feature of the Hough conversion method is that straight lines can be detected regardless of partial miscellaneous information in the image. An overview of this method will be described below. In the flow chart of FIG. 5, in steps 523 to 525, one point candidate on the DC current, for example, black pixel P1, is searched, and then in steps 526 to 530, as all straight lines passing through this point Ps, γ = x sin θ + y cos θ The frequency distribution f(γ, θ) is determined by determining the set of γ and 0 in , and further repeating steps 523 to 531. Here f
(γ, 0) indicates the number of candidate points located on the straight line γ=xsinθ+ycoso. For example, in Figure 6, point P
For f (γ, θ) of the straight line (j, θ) passing through 1 to P4, the value of f (γ, θ) is a small value of O to 2. Therefore, in step 532, γ where the value of f(γ, 0) is maximum
, 0, the parameters of the straight line passing through the most candidate points can be obtained. Similarly, the rectangular frame 231'
Find the equations of the lines to the right, above, and below.

Next, a method of converting and normalizing the entire image 206 using the rectangular frame 235' will be described.

The equations of the four straight lines that make up the rectangular frame were found by Hough transformation, so the upper left of the rectangular frame,
Find the top right, bottom left, and bottom right vertices, and add (0°0) y (Mll
Nl) * (Mal N2) + (MllM2
゜N z + N 2). Also, the coordinates of the four vertices of the rectangular frame 231 on the original image 203 are (0, O), (m
.

0) , (0, n) , (m, n). At this time, the conversion from image 206 to image 207 can be expressed as follows. Here (x, y) is the image 206
The pixel coordinates of (x, y) are the image coordinates of the image 207. Conversion using this formula is performed by calculating (x+y) for each grid point of (x, y), that is, for each point where both X and Y are integers, using a formula equivalent to the above formula, and then image the image closest to this coordinate. This is achieved by setting the density of the pixel at (x, y) to the density of the pixel (x, y). For example, in FIG. 7, point A is transformed into point a according to the above conversion formula, and the density of point a', which is the pixel closest to this coordinate, is taken as the density of point A.

The above has described an example in which an outer frame made up of four line segments is used as a symbol for normalizing the slope and size, but there are other methods to perform matching by attaching feature points to the four corners. , it can also be realized by a method of matching based on characteristic parts of the original document without adding any special symbols.

Furthermore, the above description assumes that the distortion due to the difference in pixel density between the printer 2 and the image input device 1 is linear, but if an image scan type in which a line sensor is driven by a motor is used as the pixel input device 1, for example, Since the driving speed is different between when driving starts and stops and during steady driving, and is not constant, nonlinear distortion may occur. In this case, instead of a rectangular frame, for example, a square frame 231a as shown in FIG. 8 or a barcode-like parallel line pattern 231b as shown in FIG. 9 is drawn on the original image 203, and the corrected image is 2
06, a change in the interval is detected by a plurality of parallel lines,
Based on this, highly accurate normalization processing can be realized by performing the same transformation as above for each small section into which the image 206 is divided.

Next, details of the image halftone processing executed in step 302 in FIG. 3 will be explained with reference to FIGS. 10 and 11.

In the halftone processing, black pixels are thinned out in a region where black pixels are continuous. For example, in the 4 pixel x 4 pixel region shown in FIG.
This process converts all other pixels to white pixels. Now, with the coordinates of the upper left corner of the given pixel (original image) 201 and halftone image 203 as the origin, the Coordinates above (x, y
) is OR (x, y) - the density of the pixel at coordinates (x, y) on the halftone image is OB (x.

y). In addition, the density of a pixel is expressed as a binary value,
Assume that the value is either white or black.

FIG. 11 is an example of a flowchart of a program for halftone dotting processing of original pixels under the above conditions. First, in step 600, the entire area (x=
1~Xm&. , y=1 to ymax), that is, the memory area 8 is initialized to white pixels. Steps 602-608
shows the process of incrementing the coordinates (x, y) to sequentially select picture elements in each row starting from the first row on the image, and in step 610, the original specified by the coordinates (x, y) is Check whether pixel OR (x, y) on the image is white or black. If it is a white pixel, the process advances to decision step 618.

If it is determined in step 618 that X is smaller than the maximum value Xmax, the process returns to step 608 and the value of X is incremented. If they match, the value of y is set to the maximum value '1waa' in step 620.
Determine whether it is smaller than x. If y matches Mllll&X, this routine is terminated and V <'I
If +uax, the process returns to step 604, increments the value of y, and determines whether the first pixel in the next row is white or black. If OR(X +y) is black, step 6
Proceed to step 12, X coordinate.

The remainder when the y coordinate value is divided by 4 is set as a variable Xmo++.
+YIIod. The next step 614 is 0R
Pixel 0B (x, y) on the halftone image corresponding to (x, y)
) is a determination step of whether to make it black or white, and in this example, when X-oa=1 and Y-od=o, and when X-od=3 and Yllod=2, case,
That is, when OB (x, y) corresponds to the diagonally shaded position in Fig. 10 in the divided area of 4 x 4 pixels on the image, 0B (x, y) is set to black (step 116
). If the pixel position does not correspond to the above two pixel positions, the process proceeds to step 618 without doing anything, and after the coordinate value determination described above, the process repeats from the coordinate value increment, or the routine ends.

FIG. 12 is a program flowchart illustrating one embodiment of the dot erasure process executed in step 354 of FIG. Here, the pixel density located at the coordinates (x, y) on the halftone image 207 is set to 0R(x, y), and the halftone erased image 207
Let the pixel density at the coordinates (x, y) of 8 be 0B (x, y),
It is assumed that the coordinate system is defined in the same way as in FIG. 12th
In the figure, steps 700-708, 718, 720
Now, steps 600 to 608,618°6 in Figure 11.
Similarly to 20, the storage area (memory area 11) for the two-dot erased image 208 is initialized and the coordinate (x, y) values are incremented. However, in this routine,
By adding or subtracting a constant n to the initial value and maximum value of coordinates X+y, the variable range of coordinates
', so that an image with the frame erased can be obtained in the memory area 11. In step 710, it is determined whether the pixels of the halftone image 0R(x, y) are white or black, and if they are white, the process proceeds to step 718 for determining the coordinate value X.

If the pixel of 0R(x*y) is black, in step 712,
The density of adjacent pixels on the upper, lower, left, and right sides is determined, and if all pixels are white, it is determined that OR(x+y) is an isolated black pixel, that is, a halftone dot pixel, and the process proceeds to step 718. As a result, the halftone dot pixels are erased. If at least one of the four adjacent pixels is black, then OR(X
Iy) is 1 of the correction (additional) information 232 along with the adjacent pixels
o B(x + y
) is made a black pixel and the process proceeds to decision step 718.

In the embodiments shown in FIGS. 11 and 12 above, the halftone dots are composed of one isolated pixel, but if you want to print clearly on the correction paper with the original information, the constituent pixels of each halftone dot can be For example, two adjacent black pixels may be arranged in a checkered pattern or discretely arranged at one or two pixel intervals. Such a modification can be easily realized by slightly changing the contents of step 614 in FIG. 11 and step 712 in FIG. 12.

FIG. 13 is a flowchart illustrating one embodiment of the combining step 358 of FIG. 4 by combining images 208 and 201 to create a new image 210.

Here, the pixels of the original image 201 are OR (x+y), the pixels of the corrected partial image 208 are AD (x ry), the pixels of the corrected new image 210 are OB (x y y), and the coordinates (x, y) shall be defined in the same way as in FIG. In FIG. 13, steps 800-808.818
, 820 are the same as in the case of FIG.
+y) and AD(x+y), and if at least one is a black pixel, step 814
OB (x + y) is made to be a black pixel.

Next, an example of deleting a part of already registered image information will be described with reference to FIG. 14. In FIG. 14, mutually corresponding images are shown with the same reference numerals as in FIG. 2. In this example, the original image 201 registered in file 3 includes information 230a and 230b, of which Shows when to delete. File 3
The process of reading out the original image 201 from , subjecting it to halftone processing, and printing it out with a frame is similar to the above-described embodiment in which image information is added. Already registered image 201
In this embodiment, in order to specify the part to be deleted on the correction sheet 205, that is, the information part 230a' that has been halftoned and output, Mark 233 is written surrounding the part,
This is input using an image input device. The input corrected image 206 is subjected to tilt correction and normalization processing using the frame 231 as a reference, and the above-mentioned halftone dot erasure processing is applied to the mark 23.
A corrected partial image 208 with only 3' left is obtained. In the case of additional correction, the corrected partial image 208 and the original image 201 are combined by simply calculating the logical sum, but when deletion correction is specified from the keyboard 6, the corrected partial image 208 and the original image 201 are combined by simply calculating the logical sum. A compositing process is required to replace all pixels on the original image 201 with a white image. The above synthesis process is
First, a routine is inserted between steps 404 and 406 in FIG. 4 to replace all pixels located inside the enclosing mark 233' with black pixels, and in the case of deletion/correction, this routine is executed. do. To replace black pixels, one image 208 is scanned line by line, and when a black pixel appears on a scanning line (row), subsequent white pixels are replaced one after another until the next black pixel that pairs with it appears. It is sufficient to repeat the operation of converting to black pixels.

Also, in the routine of FIG. 13 showing the synthesis step 358 of FIG. 4, 'OR(x
+ y) = white, or AD (Xl y) = black”, the determination step 81 is configured to skip to step 818.
2', and in the case of deletion processing, step 814 may be executed when the determination result of step 812' is "N○".

In the above embodiment, the memory areas 7 to 12 are provided separately for the sake of simplicity.
, 208 can share the same memory area, and the images 207 and 210 can share the same memory area. Therefore, in practice, image correction processing can be realized with a smaller memory area.

As a modification of the above embodiment, there are the following embodiments.

The first modification is an image file system in which the image input device 1 in FIG. 1 is replaced with a color image input device such as a color image scanner or a color image pickup tube, and a color printer is applied as the printer 2. When it is possible to input and output color images in this way, an image printed in a specific color, for example, blue, is output in place of the original image 230' in FIG. The information (correction information) 232 is written in a color other than the above-mentioned specific color. In this way, only the additional information can be extracted by replacing the halftone dot erasure in step 354 of FIG. 4 with the information erasure of the specific color. Deletion of information on a specific color can also be realized by attaching a color filter for removing the specific color to the image input bag W1.

In this case, the reference frame 231 is a non-specific color and is used for subsequent position correction.

In addition, as a second modification example, contrary to the first modification example, the original image 230' is output in normal black color, and the additional information 230' is outputted in normal black color.
By adding information in a specific color and extracting only the information of the specific color from the read image information, added information 2
It is also possible to obtain image data 208 that includes only 32'. In this case, the additional information 208 is added to the original image data 230.
Before compositing with the information 232', color conversion processing is performed on the information 232',
The composite image 210 is made to have information of the same color, for example, black. Such color conversion is an already established technique, and the color of the additional information can be arbitrarily selected by the user.

FIG. 15 shows a second embodiment of the invention. This embodiment is an example of the image file system shown in FIG. 1 in which a function for determining commands based on handwritten input characters is added.

FIG. 15 shows steps 207 to 210 in FIG. 2 described above.
Indicates the part to be replaced with.

The image data 207 in FIG. 15 is obtained by normalizing the tilt and size of the image input from the image input device after additions including handwritten commands have been made on the paper on which the halftone original image is printed. Yes, everything except information 250 is 2nd
It is the same as that shown in FIG. Information 250
is a handwritten command. Image data 207-2 is obtained by removing halftone dots and rectangular frames from image data 207.

The image data 208-1 is obtained by removing the command information 250 and the added portion 233' after character recognition and word meaning recognition of the command information 250 are performed on the image data 207-2. Command information 250
and the added portion 232' have been removed. Image data 210 indicates a modified image obtained by combining the original image data 200, image data 280-1, and image data 280-2. In this embodiment, in order to simplify the explanation, a handwritten command instructing to delete the image in the box 233' is given as a character string "toru", and the added portion without the handwritten command is treated as information to be added. Although this is an example, it is clear that the type and number of handwritten commands can be set arbitrarily.

FIG. 16 is a flowchart of the corrected image re-registration process when the handwritten command is used, and corresponds to FIG. 4 described above. Processing steps other than steps 357 and 358' are the same as in FIG. 4. In step 357, character recognition and word matching of the handwritten command are performed. Since there are many conventionally known examples for this, we will use them. Next, in step 358', according to the command recognized in step 357, a composition process of adding or deleting the image is performed. This step is the same as step 358 in FIG. 4 except that the compositing process follows the command.

FIG. 17 shows a third embodiment of the invention. In this embodiment, in the image file system shown in FIG. 1, at the stage of creating original image data 201 to 203, in addition to the rectangular frame 231, a character string 245 and/or
The barcode 240 is automatically output. 245 and 240 correspond to search keys for the original image 201.

After outputting the paper 204, if the power to the system is turned off and then restarted, if a search key is printed on the paper 204, the original image will be displayed based on the search key read from the re-entered paper. 201 can be read automatically.

In order to automatically read the search key, it is necessary to add a character or barcode output operation to step 304 in FIG. 3, and to output the character or barcode from the input image between steps 352 and 354 in FIG. What is necessary is to provide a routine that recognizes the search key, and change the original image search in step 356 to be performed based on the recognized search key.

Although the above embodiment is a detailed explanation of the present invention for an image file system, the present invention can also be applied to a workstation consisting of basically the same elements as in FIG. Applicable to

In the case of a workstation, a magnetic disk can be used as the file 3 instead of an optical disk.

Next, as a fourth embodiment of the present invention, an example in which the present invention is applied to a copy system with a memory function will be described.

Figure 18 is an overall configuration diagram of the copy system.
It basically consists of the same components as the image file system shown in the figure except that file 3 is omitted.

FIG. 19 is a diagram schematically showing the process of inputting an image, correcting the input image, and outputting the corrected image according to the present invention using the above copy system.

In the figure, 200 is information 230 (letter A in this example)
This paper surface 200 is input to the image input device 1.
is read and stored in the memory 7 as original image data 201. When it is desired to modify a part of the original image, for example, to make additional corrections, the information 230 is converted into halftone dots, and a frame 231 for alignment is added thereto to create image data 203, as in the first embodiment. Manuscript paper 204 for correcting
The printer 2 outputs the data as follows. Additions and corrections are made to the manuscript paper 204, this is inputted again from the image input device 1, the tilt is corrected, halftone information is erased, and the corrected image data 210 is combined with the original image. The procedure to obtain it is the same as in the first embodiment. In the case of this embodiment, the corrected image data 210 is output by the printer 2 as a paper 220.

FIG. 20 is a flowchart showing the process of outputting original paper for image correction in the above-described copying system. Step 1300 is an image input device W (image input device W).
1302 is a step of halftone dotting the original image 230; 13o4 is a step of adding re-input information 231 such as a frame shape; 1306 is a frame image This is a step of printing 203 to obtain a correction sheet 204, and 1302 to 13
o6 is step 302 of the first embodiment (FIG. 3), respectively.
- Corresponds to 306.

FIG. 21 is a flowchart of the corrected image output processing, and 13
50 is the paper page 2 obtained by adding the information for the correction department to the correction form 204.
Step 1352 is a step of normalizing the inclination and size of image 206 to obtain image 207. Step 1354 is correction by erasing the halftone dots and rectangular frame of image 207. 1358 is a step of combining the corrected partial image 208 and the original image 201 to obtain a corrected image 210; 1370 is a step of outputting the composite image 210.

These steps 1350 to 1358 are performed in the first embodiment (
These correspond to steps 350, 352, 354 and 358 in FIG. 4), respectively, and are carried out by the method described in the first embodiment.

FIG. 22 shows a process for deleting a part of an image once read by the copy system. The processing content is the same as the first one, except that the original image 201 is obtained from the original paper 200 input from the image input device 1, and the corrected image 211 is output as the paper 220 from the printer 2. This is the same as the embodiment (FIG. 14).

FIG. 23 shows a fifth embodiment in which the present invention is applied to a facsimile with an image memory function. Functionally, the facsimile described above has a structure in which the file 3 and display device 4 are omitted from the image file system shown in FIG. 1, and a communication control device 14 is provided in their place. In the case of facsimile, in addition to the image data input from the image input device 1, image data received via the communication line is stored in the memory 7 in parallel with printer output, and the stored image data is This embodiment differs from other embodiments in that correction processing can be performed in the same manner as explained in FIGS. 19 and 20.

Although several embodiments and modifications of the present invention have been described above, the present invention is not limited to these embodiments. For example, the method described as a modification of the first embodiment may be applied to other embodiments. Other modifications are possible, such as application to

〔Effect of the invention〕

As is clear from the above description, according to the present invention, only newly added information can be easily extracted when image data stored in a memory or file is once printed, corrected, and then re-inputted. Therefore, there is an effect that the image quality of the original image portion other than the added portion does not deteriorate.

[Brief explanation of the drawing]

Figure 1 shows one of the image file systems implementing the present invention.
A block diagram showing an example, Fig. 2 is a diagram schematically showing the process from initial registration of the original image to re-registration of the corrected image, Fig. 3 is a flow chart showing the procedure for printing a correction sheet, and Fig. 4 is a correction Figure 5 is a flowchart showing the procedure for compositing an image and the original image, Figure 5 is a program flowchart showing the procedure for detecting a straight line in an image, Figure 6 is an explanatory diagram of straight line detection related to Figure 5, and Figure 7 is a diagram of the corrected image. An explanatory diagram of normalization, Figures 8 and 9 are diagrams showing modified examples of rectangular frames used for image correction, and Figures 10 and 11 are pixel array diagrams and diagrams for explaining image halftone processing. Program flowchart: Figure 12 is a program flowchart showing halftone deletion processing of an image; Figure 13 is a program flowchart of compositing processing of the original image and corrected partial image; Figure 14 is a schematic diagram for deletion/correction; Figure 15. is a diagram for explaining the process of image correction in the second embodiment of the present invention, and FIG. 16 is a flowchart showing the procedure of re-registration processing of a corrected image in the second embodiment.
FIG. 17 is a diagram for explaining the image correction process in the third embodiment of the present invention, FIG. 18 is an overall configuration diagram of a copy system according to the fourth embodiment of the present invention, and FIG. 19 is a diagram for explaining the image correction process in the third embodiment of the present invention. A diagram for explaining the process of image correction in the fourth embodiment, FIGS. 20 and 21 are flowcharts showing the procedure for outputting a correction sheet and the procedure for combining the corrected image and the original image in the fourth embodiment, FIG. 22 is a schematic diagram of deletion/correction in the fourth embodiment, and FIG. 23 is a configuration diagram of a facsimile according to the fifth embodiment of the present invention. DESCRIPTION OF SYMBOLS 1... Image input device, 2... Printer, 3... Optical disk, 4... Display device, 5... Processing device, 6...
...Keyboard, 7-12...Memory.

Claims (1)

[Claims] 1. A memory means for storing document information as first image data, and outputting original information obtained by performing a first conversion process on the first image data on a correction sheet. First thing to do
and a second means for reading the information on the correction sheet to which new correction information has been added as second image data, and performing a second conversion process on the second image data. A third means for converting into third image data from which original information has been removed; and a fourth means for synthesizing corrected image data based on the third image data and the first image data. Featured image processing system. 2. The image processing system according to claim 1, further comprising means for specifying the type of correction, and when deletion correction is specified by the specifying means, the fourth means An image processing system characterized in that the corrected image data is synthesized in a form in which information on a partial area in the first image data corresponding to deletion area designation information included in the image data is removed. 3. The first means outputs the document information together with a predetermined positioning mark on the correction paper, and the third means outputs the document information together with a predetermined positioning mark included in the second image data. 3. The image processing system according to claim 1, wherein the second conversion process is performed after correcting the second image data. 4. The memory has a memory capacity capable of storing document information for a plurality of pages, and the first and fourth means operate on the first image data retrieved from the memory. An image processing system according to any one of claims 1 to 3. 5. The image processing system according to item 4, further comprising means for writing the corrected image data into the memory. 6. A first step of performing a first conversion process on the digitized first image data to be corrected and outputting it as manuscript information on a correction sheet, and adding correction information to the correction sheet and a second step of inputting the information on the correction sheet as second image data; and a second step of performing a second conversion process on the second image data to create third image data from which the original information has been removed. and a fourth step of creating fourth image data in which the content of the third image data is partially corrected from the first image data and the third image data. A method for correcting image data, characterized by: 7. In the first step, predetermined mark information is output together with the original information on the correction sheet, and in the third step, the second image data is output based on the mark information included in the second image data. 7. The image data correction method according to claim 6, wherein the position of the image is corrected. 8. In the third step, the size of the second image is also corrected based on the mark information.
A method for correcting image data as claimed. 9. The first conversion processing device halftones the image information consisting of the first image data, and the second conversion process halftones the image information included in the second image data. 9. The image data correction method according to claim 6, wherein information is removed and only non-halftone dot information is left. 10. In the first step, output the first image data on a correction sheet in a specific color, write the correction information in a color different from the specific color, and in the third step, output the first image data in a specific color on a correction paper. The image data correction method according to any one of claims 6 to 8, characterized in that original information of the image data is removed. 11. Enter the correction information on the correction sheet using a specific recording material that can be distinguished from the manuscript information, and
The image data correction method according to any one of claims 6 to 8, characterized in that in the step, document information is removed based on the difference in properties. 12. The correction information includes a symbol instructing to delete document information within a predetermined area, and in the fourth step, a part of the first image data corresponding to the area is deleted based on the symbol. The image data correction method according to any one of claims 6 to 11, characterized in that the fourth image data of a shape is created. 13. A sixth aspect characterized in that it has a file means for storing a plurality of image data, and the first and fourth steps are executed on the first image data retrieved from the file means. An image data correction method according to any one of claims to 12. 14. A sixth aspect characterized in that it has a file means for storing a plurality of image data, and has a fifth step of registering the fourth image data obtained in the fourth step in the file means. An image data correction method according to any one of claims to 13. 15. In the first step, code information for searching the first image data is output together with the original information on a correction sheet, and in the fourth step, the first image is output from the file means based on the code information. 14. The image data correction method according to claim 13, further comprising reading the data and obtaining fourth image data from the first image data and the third image data.