CN114863147B - Intelligent comparison method and system for spliced large-plate printed images and application of intelligent comparison method and system - Google Patents
Intelligent comparison method and system for spliced large-plate printed images and application of intelligent comparison method and system Download PDFInfo
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/74—Image or video pattern matching; Proximity measures in feature spaces
- G06V10/75—Organisation of the matching processes, e.g. simultaneous or sequential comparisons of image or video features; Coarse-fine approaches, e.g. multi-scale approaches; using context analysis; Selection of dictionaries
- G06V10/751—Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
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- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
- G06V30/40—Document-oriented image-based pattern recognition
- G06V30/41—Analysis of document content
- G06V30/418—Document matching, e.g. of document images
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
- G06V30/40—Document-oriented image-based pattern recognition
- G06V30/43—Editing text-bitmaps, e.g. alignment, spacing; Semantic analysis of bitmaps of text without OCR
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Abstract
The invention relates to an intelligent comparison method and system for splicing large-plate printed images and application thereof, relating to the technical field of image printing, and comprising the following steps: the imposition analysis unit analyzes imposition template files corresponding to the large-scale images to generate a mapping relation between the small page files and the large-scale images; the image acquisition unit acquires sub-images in the large-version image corresponding to each page of file in the small page of file according to the obtained mapping relation; the image matching unit matches the sub-image with the small page file; the image comparison unit is used for matching the image matching unit to complete the comparison of the alignment image and the client confirmation file; the page checking unit performs page pixel checking on the image matched by the image matching unit; and the difference evaluation unit performs difference evaluation on the inspection result of the page inspection unit. The detection precision and the processing efficiency of the spliced large-plate printing image in the printing quality inspection process are improved, so that the printing quality is further improved.
Description
Technical Field
The invention relates to the technical field of image printing, in particular to an intelligent comparison method and system for spliced large-plate printed images and application thereof.
Background
The designed document image is called a continuous tone image, the document is a single-mode (small page) document or a continuous small page document, and printing is to edit, spell and RIP the continuous tone document image, divide the continuous tone image into a lattice to make the lattice be printed in multicolor by a printer, and superimpose colors to form a lattice with the same visual effect as the continuous tone image, and the lattice is called a halftone or 1-bit-tiff image to be printed into a large-scale image.
The large-size printing plate is a process of forming the large-size printing plate by performing printing and processing such as film coating, folding, die cutting, gold stamping, drum lifting and the like on a document to be printed (books and periodicals are continuous physical serial number documents in a page-to-page form, packaging is single-mode documents, labels and other printing is single-mode documents, hereinafter called small-page documents) of a customer through professional plate splicing software according to the maximum size of a printer (the size is a plurality of single pages or single modes of a certain document of the customer can be arranged).
The imposition software is a core software tool for completing the work, and is a large-version file formed by carrying out multiple joint layout on small page files or single-mode files according to the size, the angle direction, the physical relationship between the front side and the back side of the printed matter and the maximization of the size utilization and the minimization of waste. The large-version document after the spelling is called large-version document (image), the large-version image has several forms: 1) continuous tone image 2) halftone image, 1-bit-tiff image in printing 3) scanned image of print, 4) 8-bit-tiff image, 5) tiff image 6) bmp image 7) png image, etc. PDF, jpg, ai images.
In the processes of editing, assembling large plates, halftoning, printing and the like of original files of clients, mistakes of the original files of the clients, errors of file pixels, assembling loading small page files, image-text interpretation errors of small page file layers, and the like occur in the processes of assembling large plates, halftoning and rasterizing, the printing is from file to large plate because of the problems of plates or printers, and scanned images of printed matters before and after RIP and the next form of the original files or the original files such as assembling large plate files are compared and inspected, so that the image-text contents of the original files of the clients are ensured to be transferred to printing objects such as paper in steps.
The comparison quality is the difference between a series of detected front and rear document images in the printing factory flow from single page document to multi page document to large version document to halftone document to printed matter scanned image. The method comprises the steps of electronic file pair electronic file, and electronic file pair printed matter scanning image.
The editing process can generate errors such as multi-version files, loading file errors, missing file pixel layers, erroneously changed graphics and texts, and the like. In the process of completing the above-mentioned imposition, imposition software mainly has several errors: (1) a physical order of the pages is incorrect; (2) The loading error file (3) is in sequence position error (4) and the small page angle error (5) is lost and changed by the element of the loading file, so that an error exists between the spliced large-version file (image) and the file to be printed by a client. RIP rasterization can suffer from teletext loss and teletext interpretation errors.
The printed matter image and the electronic large-scale image have certain deformation, so that the objective deformation of paper cannot be eliminated by a single-point alignment method, and the electronic file and the large-scale scanned image cannot be accurately positioned and matched better.
The spliced large-version file is printed into a scanned image corresponding to a printed matter, and dirt marks are left at the spliced joints of the single pages of the printed matter due to the specificity of the printer, which is caused by the paper feeding principle of certain printer types. These left ink marks give rise to less errors in the digitization of the print quality inspection, which are meaningless and inconvenient for the use and efficiency of the inspection system. In other words, the scanning quality inspection of the assembled large-plate printing image is actually the best way to carry out strict quality inspection on the image-text within the cutting position, and a large amount of quality inspection beyond the cutting position is wrong, so that the quality inspection work is time and efficiency loss.
Under the above different forms, a technique is needed to match and compare the small page file/continuous small page file, large electronic file, large print scanned image with different forms and the same form more accurately. Meanwhile, some imposition software manufacturers do not provide module functions of exporting large electronic files in imposition software in a paid-free manner, and a method is also needed to bypass the virtually existing large electronic files.
Disclosure of Invention
Therefore, the invention provides an intelligent comparison method and system for splicing large-plate printed images and application thereof, which are used for overcoming the defect of the prior art that the method for quickly matching and comparing the large-plate images with small-page files/continuous small-page files and splicing large-plate images can omit the existence of large-plate electronic files or omit the large-plate electronic files, and improve the original single-point alignment positioning method between large-plate and large-plate electronic files, so that a multi-point intelligent alignment and matching method is obtained.
To achieve the above object, an embodiment of the present invention provides an intelligent comparison method for a tiled printed image, including:
s1, an imposition analysis unit analyzes imposition template files corresponding to a large-scale image to generate a mapping relation between a small page file and the large-scale image;
s2, an image acquisition unit acquires sub-images in the large-version image corresponding to each page of file in the small page of file according to the mapping relation;
s3, performing image matching on the small page file and the corresponding sub-image by an image matching unit;
s4, the image matching unit matches the image matching unit to complete the comparison of the alignment image and the client confirmation file;
S5, a page checking unit checks page pixels of the image matched by the image matching unit;
and S6, performing differential evaluation on the inspection result of the page inspection unit by a differential evaluation unit.
Further, in the step S1, when the image analysis unit analyzes the imposition template file corresponding to the large-scale image, a mapping relationship from each page of small page file to the large-scale image is obtained according to imposition rules of the imposition template file, where the mapping relationship from the small page file to the large-scale image is:
in (x) 0 ,y 0 ) Representing the coordinate position of point p in the small page file defined by the imposition template file, (x) p ,y p ) Representing the pixel position in the large image corresponding to the point p, θ representing the rotation angle of the small page file defined in the imposition template file, (x) t ,y t ) Representing a translation of a small page file defined in the imposition template file, s representing the resolution of a large version of the image.
Further, in the step S1, when analyzing the imposition template file corresponding to the large-scale image, if the large-scale image is a halftone image, the imposition analysis unit interpolates the halftone image, and restores to generate a continuous tone image; when the continuous tone image is generated, the pixel position of the continuous tone image is mapped into the halftone image in a linear mode, bicubic interpolation is carried out according to the neighborhood pixels of the halftone image, and the continuous tone image is generated, wherein when bicubic interpolation is carried out, bicubic interpolation coefficients are calculated according to the mapped image position and the positions of the neighborhood pixels.
Further, in the step S2, when obtaining the sub-image in the large-format image corresponding to each page of file in the small-page file, the mapping relationship between the obtained small-page file and the large-format image is obtained, the area of each page of small-page file in the large-format image is determined, and the sub-image corresponding to each page of small-page file is generated.
Further, in the step S3, when the small page file is matched with the corresponding sub-image, a matching relationship between each small page file and the corresponding sub-image is obtained according to a matching method based on the image feature points, and the small page file and the sub-image are aligned by using the matching relationship.
Further, in the step S5, when the page inspection unit performs a page pixel inspection on the image matched by the image matching unit, the matched image is compared with the customer confirmation image, and it is determined whether there is a pixel inconsistency according to the comparison result, when the page inspection unit determines that the pixel inconsistency, the number D of the pixel points is not consistent, and the number D of the pixel points is compared with the preset number D0 of the pixel points, it is determined whether the matched image is qualified according to the comparison result,
If D is less than or equal to D0, the page checking unit judges that the matched image is qualified;
if D > D0, the page checking unit judges that the matched image is unqualified.
When the page checking unit judges that the matched images are unqualified, the page checking unit calculates a quantity difference delta D between the quantity D of the pixel points and a preset quantity D0 of the pixel points, delta D=D-D0 is set, the image matching unit determines corresponding adjustment coefficients according to the comparison result of the quantity difference and the preset quantity difference to adjust the quantity of the characteristic points, the image matching unit sets the quantity of the characteristic points after adjustment as W4, and W4=Wr×Ki is set, wherein Ki is a quantity adjustment coefficient;
when the image matching unit completes the adjustment of the number of the feature points, the image matching is carried out again, if the page checking unit judges that the matched image is unqualified, the page checking unit calculates a gray value difference value C of inconsistent pixel points and compares the gray value difference value C with a preset gray value difference value C0,
if C is more than C0, the page checking unit judges that the interpolation coefficient is adjusted;
if C is less than or equal to C0, the page checking unit sends the gray level difference value to the difference evaluating unit.
Further, in the step S5, when the difference evaluation unit performs difference evaluation on the inspection result of the page inspection unit, a ratio B of the gray value difference C to a preset gray value difference C0 is calculated, b=c/C0 is set and the difference evaluation value is determined according to the comparison result of the ratio and the preset ratio,
wherein the difference evaluation unit is provided with a first preset ratio B1, a second preset ratio B2, a first difference evaluation value E1, a second difference evaluation value E2 and a third difference evaluation value E3, wherein B1 is smaller than B2, E1 is smaller than E2 and smaller than E3,
when B is less than or equal to B1, the difference evaluation unit sets the difference evaluation value as E1;
when B1 is less than B and less than or equal to B2, the difference evaluation unit sets the difference evaluation value as E2;
when B > B2, the difference evaluation unit sets the difference evaluation value to E3.
Further, when the page checking unit determines that the difference coefficient is adjusted, a ratio B of the gray value difference C to a preset gray value difference C0 is calculated, the imposition analysis unit selects a corresponding interpolation coefficient adjustment coefficient according to a comparison result of the ratio and the preset ratio, and adjusts the interpolation coefficient, the imposition analysis unit sets the adjusted interpolation coefficient as f1, and f1=f×yn is set, wherein f is an initial interpolation coefficient.
Another embodiment of the present invention provides an intelligent alignment system for a tiled printed image, comprising:
the imposition analysis unit analyzes the large domain image corresponding imposition template file to generate a mapping relation between the small page file and the large domain image;
the image acquisition unit is connected with the imposition analysis unit and is used for acquiring sub-images of each page of small page file and the corresponding large page image, and if the large page image is a half-tone image, the half-tone image is converted into a continuous image through bicubic interpolation;
the image matching unit is connected with the image acquisition unit, acquires the matching relation between each page of small page file and the corresponding sub-image according to the matching method based on the image characteristic points, and aligns the small page file with the sub-image by utilizing the matching relation;
the image comparison unit is connected with the image matching unit and compares the obtained aligned image of the image matching unit with the client confirmation file;
the page checking unit is respectively connected with the imposition analysis unit, the image matching unit and the image comparison unit and is used for checking pixels of the image matched by the image matching unit;
And the difference evaluation unit is connected with the page inspection unit and is used for performing difference evaluation on the inspection result of the page inspection unit.
In yet another embodiment, the invention provides an application of an intelligent comparison method for assembling a large-scale printed image, which is characterized by at least one of the following purposes:
the method comprises the steps that a printing file quality inspection mode exists in a small file or a continuous small page file in a client confirmation file or a file confirmed by a client after editing, when in printing, the small page file or the continuous small page file is subjected to imposition to obtain a large-plate-spliced file, and the 8-bit-tiff mode of the large-plate-spliced file or the 1-bit-tiff mode is subjected to rasterization to obtain a 1-bit-tiff image, the 1-bit-tiff file lattice is output to a printing plate by a laser platemaking machine, and the printing plate transmits information on the plate to paper or other printing materials;
contrast of the flexographic image: the method comprises the steps of comparing small page files or continuous small page files with large edition files, comparing small page files with large edition 1-bit-tiff image files, comparing small page files with large edition printed matters, comparing large edition files or continuous small page files with large edition files, comparing large edition files with large edition 8-bit-tiff, comparing 1-bit-tiff files, and comparing large edition files with large edition printed matters;
Quality inspection of printed documents: comparison quality inspection of different forms of pre-printed documents or comparison quality inspection between the annular nodes.
Compared with the prior art, the method has the beneficial effects that the objective physical sequence, the angle direction, the front-back relation, the content pixels contained in each small page image or single mode in the small page image to be printed of a client and the area within and outside the cutting position of the small page image or single mode in each position in the large page image are effectively identified by rapidly resolving the objective physical sequence, the angle direction, the front-back relation, whether the content elements are consistent with the objective physical sequence, the angle direction, the front-back relation and the content pixels contained in each small page or single mode which are wanted by the client in the file to be printed of the client through the large page continuous tone image large page halftone image and the scanned large page image of the printed matter. Thereby ensuring whether the large-area image is in a percentile correct processing with the absolute consistency relation of the files to be printed confirmed by the clients.
Furthermore, the invention omits the dilemma that the large-version file export module in the imposition software needs to be purchased to carry out quality inspection comparison with the imposition printed matter, and realizes the direct comparison of the small-page file and the large-version file.
Further, the invention is applied to the field of direct comparison of large-format files and large-format scanned images, and can reduce the inaccuracy of high false alarm caused by large-format image deformation when compared with the quality of electronic large-format files due to paper expansion. The method can realize more accurate matching, higher comparison detection speed and omission of detection of the outer cutting area, thereby reducing invalid error reporting.
Furthermore, the invention can rapidly analyze the spelling large domain image to be detected when the quality inspection is carried out on the electronic small page and the electronic large page file, and can intuitively and rapidly carry out quality inspection comparison on the original file of the continuous page.
Furthermore, after the large-version continuous tone image is generated into the halftone image before printing, the halftone image can be synthesized and restored and then is compared with the large-version image or the continuous small-page image at a high speed, the final test can be completed in one step, and the technology can be used for realizing the direct high-speed intelligent comparison quality check of the initial batch continuous page manuscript-determining file and the batch to-be-plate halftone image given by customers during the pre-printing quality check comparison, so that a plurality of comparison steps of manual participation in the middle are omitted. Can realize high speed and intelligence.
Furthermore, the invention solves the problem that a halftone image (1-bit-tiff image) in one mode is restored into a continuous tone image in the comparison by carrying out spline difference on the halftone image, thereby realizing the comparison of a large-scale file and the halftone image and finding errors in the halftone image.
Further, compared with the prior art, the speed of the invention is constant and higher than the speed of human eyes, the result is stable, the digitized result is absolute, and compared with the participation of personnel, the digitized result has other absolute interference. Ensuring that the printed matter is spliced and printed completely and correctly. Saving the waste of paper resources for reprinting and reducing the carbon emission. Digital resource assets form a defined large electronic resource. And (3) printing again by another printing factory, and rapidly verifying the correctness of the previous large-version file by software. The method provides a more effective dilemma for quality inspection of the large-format image of the printed matter without considering whether the electronic tiff large-format file is exported or not. And the time efficiency waste caused by false alarm in an invalid area is avoided for the quality inspection of the large-area image of the printed matter.
Drawings
FIG. 1 is a block diagram of an intelligent alignment system for a tiled printed image according to the present invention;
FIG. 2 is a flow chart of an intelligent comparison method of a tiled printed image according to the present invention.
Detailed Description
In order that the objects and advantages of the invention will become more apparent, the invention will be further described with reference to the following examples; it should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
Preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are merely for explaining the technical principles of the present invention, and are not intended to limit the scope of the present invention.
It should be noted that, in the description of the present invention, terms such as "upper," "lower," "left," "right," "inner," "outer," and the like indicate directions or positional relationships based on the directions or positional relationships shown in the drawings, which are merely for convenience of description, and do not indicate or imply that the apparatus or elements must have a specific orientation, be constructed and operated in a specific orientation, and thus should not be construed as limiting the present invention.
Furthermore, it should be noted that, in the description of the present invention, unless explicitly specified and limited otherwise, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be either fixedly connected, detachably connected, or integrally connected, for example; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the above terms in the present invention can be understood by those skilled in the art according to the specific circumstances.
Referring to fig. 1, a block diagram of an intelligent comparison system for a tiled printed image according to the present invention is shown.
The intelligent comparison system for the spliced large-plate printed image comprises the following components:
the imposition analysis unit analyzes the large domain image corresponding imposition template file to generate a mapping relation between the small page file and the large domain image;
the image acquisition unit is connected with the imposition analysis unit and is used for acquiring sub-images of each page of small page file and the corresponding large version image;
the image matching unit is connected with the image acquisition unit, acquires the matching relation between each page of small page file and the corresponding sub-image according to the matching method based on the image characteristic points, and aligns the small page file with the sub-image by utilizing the matching relation;
the image comparison unit is connected with the image matching unit and compares the obtained aligned image of the image matching unit with the client confirmation file;
the page checking unit is respectively connected with the imposition analysis unit, the image matching unit and the image comparison unit and is used for checking pixels of the image matched by the image matching unit;
And the difference evaluation unit is connected with the page inspection unit and is used for performing difference evaluation on the inspection result of the page inspection unit.
The intelligent comparison method of the large-plate printing image provided by the invention has the application range of being applied to the comparison of small-page files or continuous small-page files and large-plate images, the comparison of the large-plate images obtained by the same plate-splicing template and the large-plate images, the comparison of the large-plate images which are obtained by the same plate-splicing template and are wholly effective pages or the large-plate images which fall on paper or plate materials or fall on other carriers or pages, and the comparison quality inspection of sub-images contained in different large-plate images obtained by the same small-page files through different folded-hand templates.
Specifically, the invention establishes the mapping relation between the small page file and the large page image through the imposition analysis unit, acquires the sub-image of the large page image corresponding to each small page file through the image acquisition unit, matches the small page file with the sub-image through the matching unit, compares the matched aligned image with the small page file/image, the continuous small page file/image or the imposition file/image, performs page inspection on the aligned image when the comparison is completed, and performs differential evaluation when the inspection is completed, thereby improving the intelligent comparison precision of the imposition printing image, and can obtain objective evaluation results through the result remembered differential evaluation after the comparison.
The large-scale printing image comprises a large-scale file in an electronic form and a tiff file (1-bit, 8-bit) in an electronic form, and is printed; small page file: including small page electronic files, continuous small page electronic files, small page tiff files, continuous small page tiff files. Small page documents refer broadly to, for example, books and periodicals, one by one, as well as a box document in a package, and also to a label document. The spelling image comprises the images of the spelling plates of the small pages with different information, and also refers to the spelling plate images obtained by repeatedly arranging the same small page file through different arrangements. The file format includes: PDF, tif, tiff, bmp, xpm, png, jpg, ai, etc.
Fig. 2 is a flowchart of the intelligent comparison method of the split printing image according to the present invention.
The intelligent comparison system of the spliced large-plate printed image is configured in an intelligent comparison method of the spliced large-plate printed image, and the intelligent comparison method of the spliced large-plate printed image comprises the following steps:
s1, an imposition analysis unit analyzes imposition template files corresponding to a large-scale image to generate a mapping relation between a small page file and the large-scale image;
S2, an image acquisition unit acquires sub-images in the large-version image corresponding to each page of file in the small page of file according to the mapping relation;
s3, performing image matching on the small page file and the corresponding sub-image by an image matching unit;
s4, the image matching unit matches the image matching unit to complete the comparison of the alignment image and the client confirmation file;
s5, a page checking unit checks page pixels of the image matched by the image matching unit;
and S6, performing differential evaluation on the inspection result of the page inspection unit by a differential evaluation unit.
In the intelligent comparison method for the large-scale printed images, in the step S1, when the image analysis unit analyzes the large-scale images, the image analysis unit determines the number of the read large-scale images, if the number of the large-scale images is 1, the large-scale images are single-sided images (front or back), and if the number of the large-scale images is 2, the large-scale images are front and back images.
In the intelligent comparison method for the large-scale printed image, in the step S1, when the image analysis unit analyzes the imposition template file corresponding to the large-scale image, the mapping relationship from each page of small page file to the large-scale image is obtained according to imposition rules of the imposition template file, and the mapping relationship from the small page file to the large-scale image is as follows:
In (x) 0 ,y 0 ) Representing the coordinate position of point p in the small page file defined by the imposition template file, (x) p ,y p ) Representing the pixel position in the large image corresponding to the point p, θ representing the rotation angle of the small page file defined in the imposition template file, (x) t ,y t ) Representing a translation of a small page file defined in the imposition template file, s representing the resolution of a large version of the image.
Specifically, in the step S1, when analyzing the imposition template file corresponding to the large-scale image, if the large-scale image is a 1-bit-tiff file, the imposition analysis unit interpolates the halftone image and restores to generate a continuous tone image; when the continuous tone image is generated, the pixel position of the continuous tone image is mapped into the halftone image in a linear mode, bicubic interpolation is carried out according to the neighborhood pixels of the halftone image, and the continuous tone image is generated, wherein when bicubic interpolation is carried out, bicubic interpolation coefficients are calculated according to the mapped image position and the positions of the neighborhood pixels.
In the intelligent comparison method of the large-plate printing image, in the step S1, when the image analysis unit determines that the large-plate image is a continuous tone image, the image acquisition unit acquires a template image corresponding to the large-plate image, and when the acquisition of the template image is completed, the image analysis unit analyzes the template image to acquire the physical position, the direction angle and the positive and negative relation of each page of the template image, calculates the area of each page of the template image, and generates a mapping template according to the confirmed parameters.
In the intelligent comparison method of the large-version printing images, in the step S2, when sub-images in the large-version images corresponding to each page of files in the small-page files are acquired, the mapping relation between the acquired small-page files and the large-version images is acquired, the area of each small-page file in the large-version images is determined, and sub-images corresponding to each small-page file are generated.
In the intelligent comparison method for the split printing image, in the step S3, when the small page file is matched with the corresponding sub-image, a matching relationship between each small page file and the corresponding sub-image is obtained according to a matching method based on image feature points, and the small page file and the sub-image are aligned by using the matching relationship.
The image matching unit obtains a pixel value R of the sub-image, determines the number of matching feature points of each page of the small page file and the corresponding sub-image according to the comparison result of the pixel value R and a preset pixel value,
wherein the image matching unit is provided with a first preset pixel value R1, a second preset pixel value R2, a first characteristic point quantity W1, a second characteristic point quantity W2 and a third characteristic point quantity W3, wherein R1 is more than R2, W1 is more than W2 and less than W3,
When R is less than or equal to R1, the image matching unit determines the number of matching feature points to be W1;
when R1 is more than R and less than or equal to R2, the image matching unit determines the quantity of matching characteristic points to be W2;
when R > R2, the image matching unit determines the number of matching feature points to be W3.
Specifically, the invention sets a plurality of preset pixel values and the feature point quantity in the image matching unit, and determines the corresponding matching feature point quantity when the small page file is matched with the corresponding sub-image through the image matching unit according to the comparison result of the pixel values of the sub-images and the preset pixel values, thereby improving the data processing precision in intelligent comparison and further improving the quality of the printed matter.
In the intelligent comparison method of the large-plate printing image, in the step S5, when the page checking unit performs page pixel checking on the image matched by the image matching unit, the matched image is compared with the client confirmation image, whether the pixel is inconsistent or not is determined according to the comparison result, when the pixel is inconsistent, the page checking unit counts the inconsistent pixel number D, compares the pixel number D with the preset pixel number D0, and determines whether the matched image is qualified or not according to the comparison result,
If D is less than or equal to D0, the page checking unit judges that the matched image is qualified;
if D > D0, the page checking unit judges that the matched image is unqualified.
Specifically, the method and the device have the advantages that the preset pixel point number is set in page inspection, when the comparison result of the pixels of the matched image and the pixels of the image determined by the client determines that the pixels are inconsistent, whether the matched image is qualified or not is determined according to the comparison result of the inconsistent pixel point number and the preset pixel point number, and the data processing precision in intelligent comparison is further improved, so that the quality of printed matters is further improved.
When the image matching unit matches the mapping template with the customer confirmation image, the zero point start position information, the angle information, the small page length information, the width information, the line space information, the column space information and other information provided by the information of the template image are selected from the boundaries of the information selected by the frames in the large-format image to form a block diagram of the spliced large-format, the large-format image is formed into a mapping set according to the block diagram, and the comparison quality inspection of the corresponding physical page numbers is carried out on the large-format image and the original small page image.
When the page checking unit judges that the matched images are unqualified, the page checking unit calculates a quantity difference delta D between the quantity D of the pixel points and the quantity D0 of the preset pixel points, delta D=D-D0 is set, the image matching unit determines corresponding adjustment coefficients to adjust the quantity of the characteristic points according to the comparison result of the quantity difference and the preset quantity difference,
Wherein the image matching unit is provided with a first preset quantity difference value delta D1, a second preset quantity difference value delta D2, a first quantity adjusting coefficient K1, a second quantity adjusting coefficient K2 and a third quantity adjusting coefficient K3, wherein delta D1 is smaller than delta D2, K1 is smaller than K2 and K3 is smaller than 1.5,
when the delta D is less than or equal to delta D1, the image matching unit selects a first quantity adjusting coefficient K1 to adjust the quantity of the characteristic points;
when Δd1 is smaller than Δd and smaller than or equal to Δd2, the image matching unit selects a second quantity adjusting coefficient K2 to adjust the quantity of the feature points;
when delta D is larger than delta D2, the image matching unit selects a third quantity adjusting coefficient K3 to adjust the quantity of the characteristic points;
when the image matching unit selects the ith quantity adjustment coefficient Ki to adjust the quantity of the feature points, setting i=1, 2,3, and setting w4=wr×ki, wherein r=1, 2,3, ki is the quantity adjustment coefficient, wherein the quantity of the feature points after adjustment is set as W4 by the image matching unit.
Specifically, the method and the device have the advantages that the number of the feature points is adjusted by setting the plurality of preset number difference values and the number adjustment coefficients in the image matching unit, and when the fact that the matched image is unqualified is determined, the corresponding adjustment coefficients are selected according to the calculated number difference values of the number of the pixel points and the preset number difference values, and the characteristic point number is adjusted according to the comparison result of the preset number difference values, so that the data processing precision in intelligent comparison is further improved, and the quality of printed matters is further improved.
Specifically, when the image matching unit completes the adjustment of the number of feature points, the image matching unit compares the adjusted number of feature points with a preset maximum number of feature points Wm,
if W4 is more than Wm, the image matching unit determines to correct the interpolation coefficient;
if W4 is less than or equal to Wm, the image matching unit does not correct the interpolation coefficient;
when the image matching unit determines to correct the interpolation coefficient, calculating a characteristic point quantity difference value delta W of the adjusted characteristic point quantity W4 and a preset maximum characteristic point quantity Wm, setting delta W=W4-Wm, selecting a corresponding correction coefficient according to the comparison result of the characteristic point quantity difference value and the preset characteristic point quantity difference value by the imposition analysis unit to correct the interpolation coefficient,
wherein the imposition analysis unit is provided with a first preset feature point quantity difference value delta W1, a second preset feature point quantity difference value delta W2, a first interpolation coefficient correction coefficient X1, a second interpolation coefficient correction coefficient X2 and a third interpolation coefficient correction coefficient X3, wherein delta W1 is less than delta W2, X1 is less than X2 is less than X3 and less than 1.2 is set,
when DeltaW is less than or equal to DeltaW 1, the imposition analysis unit selects X1 to correct the interpolation coefficient;
When DeltaW 1 is smaller than DeltaW and smaller than DeltaW 2, the imposition analysis unit selects X2 to correct the interpolation coefficient;
when DeltaW is larger than DeltaW 2, the imposition analysis unit selects X3 to correct the interpolation coefficient;
when the imposition analysis unit selects Xj to correct the interpolation coefficient, j=1, 2,3 is set, and the imposition analysis unit sets the corrected interpolation coefficient as f2, and f2=f×xj is set.
Specifically, according to the invention, whether the interpolation coefficient is corrected is determined according to the comparison result of the number of the regulated characteristic points and the number of the preset maximum characteristic points, and when the interpolation coefficient is corrected, the corresponding correction coefficient is selected according to the comparison result of the difference value of the number of the characteristic points and the difference value of the number of the plurality of the preset characteristic points, so that the interpolation coefficient is corrected, and the data processing precision during intelligent comparison is further improved, so that the quality of a printed matter is further improved.
When the image matching unit completes the adjustment of the number of the feature points, the image matching is carried out again, if the page checking unit judges that the matched image is unqualified, the page checking unit calculates a gray value difference value C of inconsistent pixel points and compares the gray value difference value C with a preset gray value difference value C0,
If C is more than C0, the page checking unit judges that the interpolation coefficient is adjusted;
if C is less than or equal to C0, the page checking unit sends the gray level difference value to the difference evaluating unit.
Specifically, the method and the device have the advantages that the preset gray level difference value is set in the page checking unit, when the fact that images are not matched is determined, the gray level difference value of inconsistent pixel points is determined, and difference coefficient adjustment or difference evaluation is determined according to the comparison result of the gray level difference value and the preset gray level difference value, so that the data processing precision in intelligent comparison is further improved, and the quality of printed matters is further improved.
Specifically, when quality inspection is performed, various objective relations such as positions, sizes and the like of the makeup software objectively exist can be formed by directly loading the corresponding needed makeup image and the corresponding makeup template image, the loading speed can reach the second level, and the loading speed is greatly improved.
Specifically, when the page checking unit determines to adjust the difference coefficient, calculating a ratio B of the gray value difference C to a preset gray value difference C0, selecting a corresponding interpolation coefficient adjusting coefficient according to a comparison result of the ratio and the preset ratio by the imposition analyzing unit to adjust the interpolation coefficient,
Wherein the imposition analysis unit is provided with a first preset ratio B1, a second preset ratio B2, a first interpolation coefficient adjustment coefficient Y1, a second interpolation coefficient adjustment coefficient Y2 and a third interpolation coefficient adjustment coefficient Y3, wherein B1 is more than B2, Y1 is more than Y2 is more than 1 and Y3 is more than 1.2,
when B is less than or equal to B1, the imposition analysis unit selects Y1 to adjust the interpolation coefficient;
when B1 is more than B and less than or equal to B2, the imposition analysis unit selects Y2 to adjust the interpolation coefficient;
when B is more than B2, the imposition analysis unit selects Y3 to adjust the interpolation coefficient;
when the imposition analysis unit selects Yn to adjust the interpolation coefficients, n=1, 2 and 3 are set, the imposition analysis unit sets the adjusted interpolation coefficients as f1, and f1=f×yn is set, wherein f is the initial interpolation coefficient.
Specifically, the invention sets a plurality of preset ratio values and difference value adjusting coefficients in the page checking unit, and when the difference value is determined to be adjusted, the corresponding adjusting coefficient is selected to adjust the interpolation coefficient according to the calculated gray difference value and the comparison result of the ratio value of the preset gray difference value and the preset ratio value, thereby further improving the data processing precision in intelligent comparison and further improving the quality of the printed matter.
Specifically, in the step S6, when the difference evaluation unit performs difference evaluation on the inspection result of the page inspection unit, a ratio B of the gray value difference C to a preset gray value difference C0 is calculated, b=c/C0 is set and the difference evaluation value is determined according to the comparison result of the ratio to the preset ratio,
wherein the difference evaluation unit is provided with a first preset ratio B1, a second preset ratio B2, a first difference evaluation value E1, a second difference evaluation value E2 and a third difference evaluation value E3, wherein B1 is smaller than B2, E1 is smaller than E2 and smaller than E3,
when B is less than or equal to B1, the difference evaluation unit sets the difference evaluation value as E1;
when B1 is less than B and less than or equal to B2, the difference evaluation unit sets the difference evaluation value as E2;
when B > B2, the difference evaluation unit sets the difference evaluation value to E3.
Specifically, when the invention is used for quality inspection with small page files and large printing plate scanning files, the effective area for quality inspection can be more effectively found, and the ineffective area outside cutting can not be detected. And the result, efficiency and practicability are stronger.
The application of the intelligent comparison method for the spliced large-plate printed image is at least used for one of the following purposes:
The method comprises the steps that a printed file quality inspection mode exists in a small file or a continuous small page file in a client confirmation file or a file confirmed by a client is obtained after editing, when in printing, the small page file/the continuous small page file is subjected to imposition to obtain a pieced large file, and the 8-bit-tiff mode of the pieced large file or the 1-bit-tiff file lattice is subjected to Rasterization (RIP) to obtain a 1-bit-tiff image, the 1-bit-tiff file lattice is output to a printing plate by a laser platemaking machine, the printing plate transmits information on the plate to paper or other printing objects, wherein the digital printer has no platemaking process, and the 1-bit-tiff is directly printed on the paper or other printing objects;
contrast of the flexographic image: the method comprises the steps of comparing small page files or continuous small page files with large edition files, comparing small page files with large edition 1-bit-tiff image files, comparing small page files with large edition printed matters, comparing large edition files or continuous small page files with large edition files, comparing large edition files with large edition 8-bit-tiff, comparing 1-bit-tiff files, and comparing large edition files with large edition printed matters;
quality inspection of printed documents: the comparison quality inspection of different forms of pre-printed files or the comparison quality inspection between ring joints needs to solve the positioning comparison quality inspection method of small page files/continuous small page files and large-version files, small page files/continuous small page files and large-version TIFF files (TIFF files of 1bit, 8bit and the like),
The invention interprets the information saved by JDF conforming to CIP4 organization standardization in the process, so that the information needing to be interpreted and processed in the JDF process file forms accurate positioning of each small page file and large version sub-image which are required by comparison quality. The printing of the large-plate image can be regarded as a large-plate file/image, and the difference is that the large-plate printing image is affected by the diffusion of ink and water and the pressure stretching of a printing machine, and the information deformation exists in the large-plate image of a printed matter and the large-plate file of an electronic product. By the method, the deformation of the paper on the image-text information can be well eliminated by regional positioning, so that the image positioning is more accurate, and the comparison effect is more accurate.
By using the JDF flow file information, the automatic acquisition of the order work order information in the comparison and the management information exchange between the ERP and the MES of the XML language based on the JDF flow and the comparison quality inspection are more intelligent, direct and standard. The comparison quality inspection management information can be automatically written into the JDF flow, so that other production links can better acquire quality inspection comparison management information. The method is used for enriching the automation application of JDF flow information in other links of an informatization factory.
Thus far, the technical solution of the present invention has been described in connection with the preferred embodiments shown in the drawings, but it is easily understood by those skilled in the art that the scope of protection of the present invention is not limited to these specific embodiments. Equivalent modifications and substitutions for related technical features may be made by those skilled in the art without departing from the principles of the present invention, and such modifications and substitutions will be within the scope of the present invention.
The foregoing description is only of the preferred embodiments of the invention and is not intended to limit the invention; various modifications and variations of the present invention will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (9)
1. An intelligent comparison method for a tiled printed image, comprising:
s1, an imposition analysis unit analyzes imposition template files corresponding to a large-scale image to generate a mapping relation between a small page file and the large-scale image;
s2, an image acquisition unit acquires sub-images in the large-version image corresponding to each page of file in the small page of file according to the mapping relation;
S3, performing image matching on the small page file and the corresponding sub-image by an image matching unit;
s4, the image matching unit matches the image matching unit to complete the comparison of the alignment image and the client confirmation file;
s5, a page checking unit checks page pixels of the image matched by the image matching unit;
s6, performing differential evaluation on the inspection result of the page inspection unit by a differential evaluation unit;
in the step S5, when the page checking unit performs a page pixel check on the image matched by the image matching unit, the matched image is compared with the customer confirmation image, and whether there is a pixel inconsistency is determined according to the comparison result, when the page checking unit determines that the pixel inconsistency, the number D of the pixel points is counted and compared with the preset number D0 of the pixel points, whether the matched image is qualified is determined according to the comparison result,
if D is less than or equal to D0, the page checking unit judges that the matched image is qualified;
if D is more than D0, the page checking unit judges that the matched image is unqualified;
When the page checking unit judges that the matched images are unqualified, the page checking unit calculates a quantity difference delta D between the quantity D of the pixel points and the quantity D0 of the preset pixel points, delta D=D-D0 is set, the image matching unit determines corresponding adjustment coefficients according to the comparison result of the quantity difference and the preset quantity difference to adjust the quantity of the characteristic points, the image matching unit sets the quantity of the characteristic points after adjustment as W4, W4=Wr×Ki is set, wherein Wr is the quantity of the matched characteristic points of each page of small page file and the corresponding sub-image, and Ki is a quantity adjustment coefficient;
when the image matching unit completes the adjustment of the number of the feature points, the image matching is carried out again, if the page checking unit judges that the matched image is unqualified, the page checking unit calculates a gray value difference value C of inconsistent pixel points and compares the gray value difference value C with a preset gray value difference value C0,
if C > C0, the page checking unit judges that the interpolation coefficient is adjusted;
if C is less than or equal to C0, the page checking unit sends the gray level difference value to the difference evaluating unit.
2. The intelligent comparison method of the assembled large-scale printed images according to claim 1, wherein in the step S1, when the assembled analysis unit analyzes an assembled template file corresponding to the large-scale image, a mapping relationship from each page of small page file to the large-scale image is obtained according to an assembled rule of the assembled template file, and the mapping relationship from the small page file to the large-scale image is:
In (x) 0 ,y 0 ) Representing the coordinate position of point p in the small page file defined by the imposition template file, (x) p ,y p ) Representing the pixel position in the large image corresponding to the point p, θ representing the rotation angle of the small page file defined in the imposition template file, (x) t ,y t ) Representing a translation of a small page file defined in the imposition template file, s representing the resolution of a large version of the image.
3. The intelligent comparison method of the large-scale printed images according to claim 1, wherein in the step S1, when analyzing a large-scale template file corresponding to the large-scale image, if the large-scale image is a halftone image, the imposition analysis unit interpolates the halftone image and restores the halftone image to generate a continuous tone image; when the continuous tone image is generated, the pixel position of the continuous tone image is mapped into the halftone image in a linear mode, bicubic interpolation is carried out according to the neighborhood pixels of the halftone image, and the continuous tone image is generated, wherein when bicubic interpolation is carried out, bicubic interpolation coefficients are calculated according to the mapped image position and the positions of the neighborhood pixels.
4. The intelligent comparison method of the assembled large-format printed images according to claim 3, wherein in the step S2, when obtaining the sub-images in the large-format images corresponding to each page of the small page files, the mapping relationship between the obtained small page files and the large-format images is obtained, the area of each small page file in the large-format images is determined, and the sub-images corresponding to each small page file are generated.
5. The intelligent comparison method of the split printing image according to claim 1, wherein in the step S3, when the small page file is image-matched with the corresponding sub-image, a matching relationship between each small page file and the corresponding sub-image is obtained according to a matching method based on image feature points, and the small page file is aligned with the sub-image by using the matching relationship.
6. The intelligent comparison method of a tiled printed image according to claim 1, wherein in the step S5, when the difference evaluation unit performs the difference evaluation on the inspection result of the page inspection unit, the ratio B of the gray value difference C to the preset gray value difference C0 is calculated, b=c/C0 is set and the difference evaluation value is determined based on the comparison result of the ratio with the preset ratio,
wherein the difference evaluation unit is provided with a first preset ratio B1, a second preset ratio B2, a first difference evaluation value E1, a second difference evaluation value E2 and a third difference evaluation value E3, wherein B1 is smaller than B2, E1 is smaller than E2 and smaller than E3,
when B is less than or equal to B1, the difference evaluation unit sets the difference evaluation value as E1;
when B1 is less than B and less than or equal to B2, the difference evaluation unit sets the difference evaluation value as E2;
When B > B2, the difference evaluation unit sets the difference evaluation value to E3.
7. The intelligent comparison method of the assembled large-scale printed images according to claim 6, wherein when the page inspection unit judges that the interpolation coefficient is adjusted, a ratio B of the gray value difference C to a preset gray value difference C0 is calculated, an assembly analysis unit selects a corresponding interpolation coefficient adjustment coefficient according to a comparison result of the ratio to the preset ratio to adjust the interpolation coefficient, the assembly analysis unit sets the adjusted interpolation coefficient as f1, and f1=f×yn is set, wherein f is an initial interpolation coefficient, and Yn is an adjustment coefficient of the interpolation coefficient.
8. The alignment system of the intelligent alignment method of the tiled printed image according to any of claims 1-7, comprising:
the imposition analysis unit is used for analyzing the large domain image corresponding imposition template file to generate a mapping relation between the small page file and the large domain image;
the image acquisition unit is connected with the imposition analysis unit and is used for acquiring sub-images of each page of small page file and the corresponding large page image, and if the large page image is a half-tone image, the half-tone image is converted into a continuous image through bicubic interpolation;
The image matching unit is connected with the image acquisition unit, acquires the matching relation between each page of small page file and the corresponding sub-image according to the matching method based on the image characteristic points, and aligns the small page file with the sub-image by utilizing the matching relation;
the image comparison unit is connected with the image matching unit and compares the obtained aligned image of the image matching unit with the client confirmation file;
the page checking unit is respectively connected with the imposition analysis unit, the image matching unit and the image comparison unit and is used for checking pixels of the image matched by the image matching unit;
and the difference evaluation unit is connected with the page inspection unit and is used for performing difference evaluation on the inspection result of the page inspection unit.
9. Use of the intelligent alignment method of a tiled printed image according to any of claims 1-7, for at least one of the following purposes:
the method comprises the steps that a printing file quality inspection mode exists in a small file or a continuous small page file in a client confirmation file or a file confirmed by a client after editing, when in printing, the small page file or the continuous small page file is subjected to imposition to obtain a large-plate-spliced file, and the 8-bit-tiff mode of the large-plate-spliced file or the 1-bit-tiff mode is subjected to rasterization to obtain a 1-bit-tiff image, the 1-bit-tiff file lattice is output to a printing plate by a laser platemaking machine, and the printing plate transmits information on the plate to paper or other printing materials;
Contrast of the flexographic image: the method comprises the steps of comparing small page files or continuous small page files with large edition files, comparing small page files with large edition 1-bit-tiff image files, comparing small page files with large edition printed matters, comparing large edition files or continuous small page files with large edition files, comparing large edition files with large edition 8-bit-tiff, comparing 1-bit-tiff files, and comparing large edition files with large edition printed matters;
quality inspection of printed documents: comparison quality inspection of different forms of pre-printed documents or comparison quality inspection between the annular nodes.
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| JP6848286B2 (en) * | 2016-09-15 | 2021-03-24 | 株式会社リコー | Inspection equipment, inspection methods and programs |
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