CN114418899A - Self-adaptive repairing method and system for self-color printing and readable storage medium - Google Patents
Self-adaptive repairing method and system for self-color printing and readable storage medium Download PDFInfo
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Abstract
The invention discloses a self-adaptive repairing method, a system and a readable storage medium of self-color printing, which are characterized in that the information of a current color printing image is acquired, the information of the current color printing image is preprocessed, and geometric features and color features in the image are extracted; carrying out image difference extraction defects through geometric feature matching according to the current color printing image information and preset color printing image information, and obtaining chromaticity deviation according to color features; performing image compensation on preset color printing image information through defect characteristics and chromaticity deviation, judging the defect type to generate a to-be-repaired area, and generating correction information of the to-be-repaired area according to the defect characteristics and the chromaticity deviation; and resetting the printing parameters according to the correction information, repairing the defective part of the color-printed image, and updating the initial printing parameters according to the newly set printing parameters. The invention realizes the restoration and compensation of the preset color printing image and the initial printing parameters through defect detection, and improves the color printing efficiency and the color printing quality.
Description
Technical Field
The invention relates to the technical field of printing detection, in particular to a self-adaptive repairing method and system for a self-color printing and a readable storage medium.
Background
The high-quality exquisite color printing image enriches the lives of people, meets the consumption requirements of different levels, restores colorful scenes in the nature into a real color image, is stored for a long time in a color imaging mode of paper, and is an important means for inheriting traditional culture and storing historical data. However, the method is limited to the comprehensive influence of complex factors such as technology, mode, means and the like, and sometimes, the printing requirement of the color image is difficult to achieve when the initial image data is printed, so that the acquired image data cannot be well stored and spread in a printing mode. In view of the above, on the one hand, a color image with poor image quality is subjected to appropriate image restoration processing based on experience by a plate making technique and an image restoration technique to improve the printing quality as much as possible, and on the other hand, information on a color tone difference and a shape missing defect generated in a color printing process can be secondarily restored.
In order to repair defects in the color printing process, a system needs to be developed to be matched with the system for realization, and the system processes the current color printing image information by acquiring the current color printing image information and extracts geometric features and color features in the image; carrying out image difference extraction defects through geometric feature matching according to the current color printing image information and preset color printing image information, and obtaining chromaticity deviation according to color features; performing image compensation on preset color printing image information through defect characteristics and chromaticity deviation, judging the defect type to generate a to-be-repaired area, and generating correction information of the to-be-repaired area according to the defect characteristics and the chromaticity deviation; and resetting the printing parameters according to the correction information, repairing the defective part of the color-printed image, and updating the initial printing parameters according to the newly set printing parameters. In the implementation process of the system, how to identify and repair the defects of the color printing is an urgent problem which needs to be solved.
Disclosure of Invention
In order to solve at least one technical problem, the invention provides a self-color printing self-adaptive repairing method, a self-color printing self-adaptive repairing system and a readable storage medium.
The invention provides a self-color printing self-adaptive repairing method in a first aspect, which comprises the following steps:
acquiring current color printing image information, preprocessing the current color printing image information, and extracting geometric features and color features in an image;
carrying out image difference extraction defects through geometric feature matching according to the current color printing image information and preset color printing image information, and obtaining chromaticity deviation according to color features;
performing image compensation on preset color printing image information through defect characteristics and chromaticity deviation, judging the defect type to generate a to-be-repaired area, and generating correction information of the to-be-repaired area according to the defect characteristics and the chromaticity deviation;
and resetting the printing parameters according to the correction information, repairing the defective part of the color-printed image, and updating the initial printing parameters according to the newly set printing parameters.
In this scheme, the preprocessing of the current color printing image information to extract the geometric features and color features in the image specifically comprises:
performing ashing treatment on current color printing image information to obtain a current color printing ashing image, and filtering, denoising and enhancing the current color printing ashing image;
performing edge detection on the current color printing ashing image through an edge detection operator, segmenting a defect area by using a self-adaptive threshold value, removing an image background, acquiring independent and complete current color printing image information, and performing geometric correction on the current color printing image information;
and performing feature extraction on the preprocessed current color printing image information to obtain geometric features and color features in the image.
In the scheme, the image difference extraction defect is carried out through geometric feature matching according to the current color printing image information and the preset color printing image information, and the chromaticity deviation is obtained according to the color features, which specifically comprises the following steps:
performing image difference processing on the preprocessed current color printing image information and preset color printing image information to obtain a difference image and eliminate the outline in the difference image;
calculating the gray value of each pixel point in the differential image, and judging whether the gray value of each pixel point is greater than a preset gray threshold value or not;
if the number of the pixel points is larger than the preset value, marking the pixel points as defective pixel points, counting the number information of the defective pixel points, acquiring the position information and the size information of the defects according to the number and the position information of the pixel points, generating geometric deviation according to the position information and the size information, and if not, discarding the pixel points;
simultaneously, obtaining color values of pixel points in the current color printing image and preset color printing image information, and converting the color values into chromaticity coordinates in a Luv chromaticity space;
dividing the current color printing image and the preset color printing image into a plurality of regions through geometrical characteristics, and calculating the square sum of the difference value obtained by subtracting the coordinate value of the Luv chromaticity coordinate of the pixel point in the corresponding region in the current color printing image information from the coordinate value of the Luv chromaticity coordinate of the pixel point in the target region in the preset color printing image information;
and judging whether the square sum is larger than a preset threshold value or not, if so, proving that the target area in the current color printing image has abnormal chromaticity, and generating chromaticity deviation.
In this scheme, the image compensation is performed on the preset color printing image information through the defect characteristics and the chromaticity deviation, specifically:
marking the defect position information in the current color printing image information in the preset color printing image information, and marking the mark area in the preset color printing image information;
constructing an image reconstruction model based on a convolutional neural network, and reconstructing an image of a marked region according to the defect characteristics and the characteristics of the marked region according to the image reconstruction model to realize the enhancement of the geometric and color details of the marked region;
and generating chrominance compensation information according to the chrominance deviation of the chrominance deviation area to compensate the preset color printing image information.
In this scheme, the resetting of the printing parameters according to the correction information repairs the defective part of the color-printed image, and the updating of the initial printing parameters according to the newly set printing parameters specifically includes:
classifying the defects according to the geometrical characteristics of the defects in the current color printing image information to obtain classification information of the defects, and judging whether the defects can be repaired or not according to the classification information of the defects and the chromaticity deviation of the chromaticity deviation area;
if the defect or the regional chromaticity deviation can be repaired, generating printing compensation information through the chromaticity deviation and the geometric deviation of the region to be repaired, and repairing the color printing defect and the chromaticity deviation region according to the printing compensation information and the printing compensation information;
and resetting the printing parameters according to the printing compensation information, and updating and replacing the initial printing parameters.
In this scheme, still include:
acquiring the position and size information of the area to be repaired according to the position and size information of the defect in the current color printing image;
acquiring the regional characteristics of a target region to be repaired, and calculating the similarity between the remaining region to be repaired and the target region to be repaired according to the regional characteristics;
presetting a similarity threshold, and carrying out comparative analysis on the similarity and the similarity threshold;
if the similarity is larger than or equal to a similarity threshold, judging that the current to-be-repaired area and the target to-be-repaired area are the same type of area, reading the repair data of the target to-be-repaired area, and adjusting the repair sample block according to the size information of the current to-be-repaired area;
and if the similarity is smaller than the similarity threshold, acquiring the repair parameters according to the current regional characteristics of the region to be repaired, and updating the regional characteristics of the target region to be repaired into the regional characteristics of the current region to be repaired after the previous similar region is searched.
The second aspect of the present invention also provides a self-color printing self-adaptive repair system, which includes: the self-color printing self-adaptive repair method comprises a memory and a processor, wherein the memory comprises a self-color printing self-adaptive repair method program, and when the self-color printing self-adaptive repair method program is executed by the processor, the self-color printing self-adaptive repair method program realizes the following steps:
acquiring current color printing image information, preprocessing the current color printing image information, and extracting geometric features and color features in an image;
carrying out image difference extraction defects through geometric feature matching according to the current color printing image information and preset color printing image information, and obtaining chromaticity deviation according to color features;
performing image compensation on preset color printing image information through defect characteristics and chromaticity deviation, judging the defect type to generate a to-be-repaired area, and generating correction information of the to-be-repaired area according to the defect characteristics and the chromaticity deviation;
and resetting the printing parameters according to the correction information, repairing the defective part of the color-printed image, and updating the initial printing parameters according to the newly set printing parameters.
In this scheme, the preprocessing of the current color printing image information to extract the geometric features and color features in the image specifically comprises:
performing ashing treatment on current color printing image information to obtain a current color printing ashing image, and filtering, denoising and enhancing the current color printing ashing image;
performing edge detection on the current color printing ashing image through an edge detection operator, segmenting a defect area by using a self-adaptive threshold value, removing an image background, acquiring independent and complete current color printing image information, and performing geometric correction on the current color printing image information;
and performing feature extraction on the preprocessed current color printing image information to obtain geometric features and color features in the image.
In the scheme, the image difference extraction defect is carried out through geometric feature matching according to the current color printing image information and the preset color printing image information, and the chromaticity deviation is obtained according to the color features, which specifically comprises the following steps:
performing image difference processing on the preprocessed current color printing image information and preset color printing image information to obtain a difference image and eliminate the outline in the difference image;
calculating the gray value of each pixel point in the differential image, and judging whether the gray value of each pixel point is greater than a preset gray threshold value or not;
if the number of the pixel points is larger than the preset value, marking the pixel points as defective pixel points, counting the number information of the defective pixel points, acquiring the position information and the size information of the defects according to the number and the position information of the pixel points, generating geometric deviation according to the position information and the size information, and if not, discarding the pixel points;
simultaneously, obtaining color values of pixel points in the current color printing image and preset color printing image information, and converting the color values into chromaticity coordinates in a Luv chromaticity space;
dividing the current color printing image and the preset color printing image into a plurality of regions through geometrical characteristics, and calculating the square sum of the difference value obtained by subtracting the coordinate value of the Luv chromaticity coordinate of the pixel point in the corresponding region in the current color printing image information from the coordinate value of the Luv chromaticity coordinate of the pixel point in the target region in the preset color printing image information;
and judging whether the square sum is larger than a preset threshold value or not, if so, proving that the target area in the current color printing image has abnormal chromaticity, and generating chromaticity deviation.
In this scheme, the image compensation is performed on the preset color printing image information through the defect characteristics and the chromaticity deviation, specifically:
marking the defect position information in the current color printing image information in the preset color printing image information, and marking the mark area in the preset color printing image information;
constructing an image reconstruction model based on a convolutional neural network, and reconstructing an image of a marked region according to the defect characteristics and the characteristics of the marked region according to the image reconstruction model to realize the enhancement of the geometric and color details of the marked region;
and generating chrominance compensation information according to the chrominance deviation of the chrominance deviation area to compensate the preset color printing image information.
In this scheme, the resetting of the printing parameters according to the correction information repairs the defective part of the color-printed image, and the updating of the initial printing parameters according to the newly set printing parameters specifically includes:
classifying the defects according to the geometrical characteristics of the defects in the current color printing image information to obtain classification information of the defects, and judging whether the defects can be repaired or not according to the classification information of the defects and the chromaticity deviation of the chromaticity deviation area;
if the defect or the regional chromaticity deviation can be repaired, generating printing compensation information through the chromaticity deviation and the geometric deviation of the region to be repaired, and repairing the color printing defect and the chromaticity deviation region according to the printing compensation information and the printing compensation information;
and resetting the printing parameters according to the printing compensation information, and updating and replacing the initial printing parameters.
In this scheme, still include:
acquiring the position and size information of the area to be repaired according to the position and size information of the defect in the current color printing image;
acquiring the regional characteristics of a target region to be repaired, and calculating the similarity between the remaining region to be repaired and the target region to be repaired according to the regional characteristics;
presetting a similarity threshold, and carrying out comparative analysis on the similarity and the similarity threshold;
if the similarity is larger than or equal to a similarity threshold, judging that the current to-be-repaired area and the target to-be-repaired area are the same type of area, reading the repair data of the target to-be-repaired area, and adjusting the repair sample block according to the size information of the current to-be-repaired area;
and if the similarity is smaller than the similarity threshold, acquiring the repair parameters according to the current regional characteristics of the region to be repaired, and updating the regional characteristics of the target region to be repaired into the regional characteristics of the current region to be repaired after the previous similar region is searched.
The third aspect of the present invention further provides a computer-readable storage medium, where the computer-readable storage medium includes a program of an adaptive color printing repairing method, and when the program of the adaptive color printing repairing method is executed by a processor, the steps of the adaptive color printing repairing method are implemented as any one of the above-mentioned steps.
The invention discloses a self-adaptive repairing method, a system and a readable storage medium of self-color printing, which are characterized in that the information of a current color printing image is acquired, the information of the current color printing image is preprocessed, and geometric features and color features in the image are extracted; carrying out image difference extraction defects through geometric feature matching according to the current color printing image information and preset color printing image information, and obtaining chromaticity deviation according to color features; performing image compensation on preset color printing image information through defect characteristics and chromaticity deviation, judging the defect type to generate a to-be-repaired area, and generating correction information of the to-be-repaired area according to the defect characteristics and the chromaticity deviation; and resetting the printing parameters according to the correction information, repairing the defective part of the color-printed image, and updating the initial printing parameters according to the newly set printing parameters. The invention realizes the repair and compensation of the preset color printing image and the initial printing parameters through defect detection, avoids the reappearance of the printing defects, and improves the color printing efficiency and the color printing quality.
Drawings
Fig. 1 shows a flow chart of a self-color printing self-adaptive repair method of the invention.
Fig. 2 shows a block diagram of an adaptive color printing repair system of the present invention.
Detailed Description
In order that the above objects, features and advantages of the present invention can be more clearly understood, a more particular description of the invention will be rendered by reference to the appended drawings. It should be noted that the embodiments and features of the embodiments of the present application may be combined with each other without conflict.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, however, the present invention may be practiced in other ways than those specifically described herein, and therefore the scope of the present invention is not limited by the specific embodiments disclosed below.
Fig. 1 shows a flow chart of a self-color printing self-adaptive repair method of the invention.
As shown in fig. 1, a first aspect of the present invention provides a self-color printing self-adaptive repair method, including:
s102, acquiring current color printing image information, preprocessing the current color printing image information, and extracting geometric features and color features in an image;
s104, carrying out image difference extraction defects through geometric feature matching according to the current color printing image information and preset color printing image information, and obtaining chromaticity deviation according to color features;
s106, performing image compensation on the preset color printing image information through the defect characteristics and the chromaticity deviation, judging the defect type to generate a to-be-repaired area, and generating correction information of the to-be-repaired area according to the defect characteristics and the chromaticity deviation;
and S108, resetting the printing parameters according to the correction information, repairing the defective part of the color-printed image, and updating the initial printing parameters according to the newly set printing parameters.
It should be noted that, the preprocessing the current color printing image information to extract the geometric features and color features in the image specifically includes: performing ashing treatment on current color printing image information to obtain a current color printing ashing image, and performing filtering denoising and image enhancement on the current color printing ashing image, wherein preferentially, the filtering denoising and the image enhancement can be realized by methods such as mean filtering, Gaussian filtering, histogram equalization and the like; performing edge detection on the current color printing ashing image through a Canny edge detection operator, segmenting a defect region by using a self-adaptive threshold value, removing an image background, acquiring independent and complete current color printing image information, and performing geometric correction on the current color printing image information; and performing feature extraction on the preprocessed current color printing image information to obtain geometric features and color features in the image.
According to the embodiment of the invention, the image difference extraction defect is carried out through geometric feature matching according to the current color printing image information and the preset color printing image information, and the chromaticity deviation is obtained according to the color feature, which specifically comprises the following steps:
performing image difference processing on the preprocessed current color printing image information and preset color printing image information to obtain a difference image and eliminate the outline in the difference image;
calculating the gray value of each pixel point in the differential image, and judging whether the gray value of each pixel point is greater than a preset gray threshold value or not;
if the number of the pixel points is larger than the preset value, marking the pixel points as defective pixel points, counting the number information of the defective pixel points, acquiring the position information and the size information of the defects according to the number and the position information of the pixel points, generating geometric deviation according to the position information and the size information, and if not, discarding the pixel points;
simultaneously, obtaining color values of pixel points in the current color printing image and preset color printing image information, and converting the color values into chromaticity coordinates in a Luv chromaticity space;
dividing the current color printing image and the preset color printing image into a plurality of regions through geometrical characteristics, and calculating the square sum of the difference value obtained by subtracting the coordinate value of the Luv chromaticity coordinate of the pixel point in the corresponding region in the current color printing image information from the coordinate value of the Luv chromaticity coordinate of the pixel point in the target region in the preset color printing image information;
and judging whether the square sum is larger than a preset threshold value or not, if so, proving that the target area in the current color printing image has abnormal chromaticity, and generating chromaticity deviation.
It is to be noted that, before performing image difference between the current color printing image and the preset color printing image, matching and registering the images are required, obtaining feature points in the current color printing image and the preset color printing image, calculating an euclidean distance between the feature points in the current color printing image and the feature points in the preset color printing image, obtaining a feature point with the closest euclidean distance and a feature point with the second closest euclidean distance, extracting the corresponding closest distance and the second closest distance, determining whether a ratio of the closest distance to the second closest distance is smaller than a preset distance threshold, if so, proving that the feature point is a matching point, obtaining the matching point in the current color printing image and the preset color printing image, and simultaneously obtaining the matching point in the preset color printing image and the matching point in the current color printing image, obtaining the same matching point in the matching points obtained twice, and performing image registration through the matching points.
The defect in the color printing process is mostly the missing or overlapping of the pattern, so the position with the defect is different from the gray value of the position without the defect, the defect information in the difference image is judged according to the difference of the gray values, and the calculation formula is as follows:
wherein,
representing the gray values of the pixel points in the differential image,
which is indicative of a correction factor, is,
representing the gray value of a pixel point in the preset color printing image information,
representing the gray values of the pixel points in the current color-printed image information,
indicating a correction parameter; when the gray value comparison judgment is carried out, when the gray value of the pixel point in the differential image is a negative number, the absolute value of the gray value of the pixel point is removed for judgment.
The LUV color space is designed according to the perception of color by the human visual system, has uniformity, and is uncorrelated for each color component. For LUV color space, L denotes luminance, chrominance information is only in the U and V channels, and the description of the target region is obtained using only the values of the U and V color channels.
It should be noted that, the image compensation of the preset color printing image information through the defect characteristics and the chromaticity deviation specifically includes:
marking the defect position information in the current color printing image information in the preset color printing image information, and marking the mark area in the preset color printing image information;
constructing an image reconstruction model based on a convolutional neural network, and reconstructing an image of a marked region according to the defect characteristics and the characteristics of the marked region according to the image reconstruction model to realize the enhancement of the geometric and color details of the marked region;
and generating chrominance compensation information according to the chrominance deviation of the chrominance deviation area to compensate the preset color printing image information.
The method comprises the steps of constructing an image reconstruction model, constructing based on a convolutional neural network, acquiring massive color image information, preprocessing the acquired color image information to construct a training set and a verification set, converting image data of the training set from red, green and blue color spaces into luminance, blue chrominance and red chrominance spaces, extracting luminance, converting image information of a test set from the red, green and blue color spaces into luminance, blue chrominance and red chrominance color spaces, taking the extracted luminance as the test set, inputting the training set into the constructed convolutional neural network, and training by dynamically adjusting the learning rate of the network model to obtain the trained image reconstruction model.
It should be noted that, resetting the printing parameters according to the correction information, repairing the defective portion of the color-printed image, and updating the initial printing parameters according to the newly set printing parameters specifically include:
classifying the defects according to the geometrical characteristics of the defects in the current color printing image information to obtain classification information of the defects, and judging whether the defects can be repaired or not according to the classification information of the defects and the chromaticity deviation of the chromaticity deviation area;
if the defect or the regional chromaticity deviation can be repaired, generating printing compensation information through the chromaticity deviation and the geometric deviation of the region to be repaired, and repairing the color printing defect and the chromaticity deviation region according to the printing compensation information and the printing compensation information;
and resetting the printing parameters according to the printing compensation information, and updating and replacing the initial printing parameters.
It should be noted that, the defects are divided into point defects, line defects, and surface defects, each defect evaluation score table is preset, the geometric features of the defects in the current color printing image information are used to classify the defects, the defects are evaluated and judged according to each defect evaluation score table, when the complexity scores of the defects are within a preset range, the defects are judged to be repairable, when printing compensation information is generated, all the defects need to be taken into account, and the original printing parameters are compensated through the chromaticity deviation and the geometric deviation of the area to be repaired.
It should be noted that the present invention further includes:
acquiring the position and size information of the area to be repaired according to the position and size information of the defect in the current color printing image;
acquiring the regional characteristics of a target region to be repaired, and calculating the similarity between the remaining region to be repaired and the target region to be repaired according to the regional characteristics;
presetting a similarity threshold, and carrying out comparative analysis on the similarity and the similarity threshold;
if the similarity is larger than or equal to a similarity threshold, judging that the current to-be-repaired area and the target to-be-repaired area are the same type of area, reading the repair data of the target to-be-repaired area, and adjusting the repair sample block according to the size information of the current to-be-repaired area;
and if the similarity is smaller than the similarity threshold, acquiring the repair parameters according to the current regional characteristics of the region to be repaired, and updating the regional characteristics of the target region to be repaired into the regional characteristics of the current region to be repaired after the previous similar region is searched.
According to the embodiment of the invention, the invention further comprises the step of constructing a printing parameter database, which specifically comprises the following steps:
constructing a printing parameter database, wherein the printing parameter database comprises historical printing image information, corrected and compensated image information and corrected and compensated printing parameters;
carrying out similarity comparison in the printing parameter database according to the obtained geometric characteristics and color characteristics of the current image to be printed, and obtaining historical printing image information in the printing parameter database, wherein the similarity between the historical printing image information and the image to be printed meets the requirement of a preset value;
correcting and compensating the current image to be printed according to the image compensation parameters of the same area in the corrected and compensated image information corresponding to the obtained historical printing image information;
and if the same position of the image to be printed has defect information in the printing process, acquiring defect characteristics to update the corrected and compensated image information and the corrected and compensated printing parameters in the same area in the database.
It should be noted that, in order to increase the printing efficiency of the printed image, before the image to be printed is printed, the image compensation data corresponding to the historical printed image information with the similarity meeting the requirement in the historical printed image is extracted according to the database retrieval, and the image compensation is performed on the image to be printed in advance through the image compensation data, so that the occurrence rate of defects in the printing process and the subsequent calculation amount for compensating the printing parameters through defect detection are greatly reduced, wherein the similarity comparison can be Euclidean distance or cosine comparison.
Fig. 2 shows a block diagram of an adaptive color printing repair system of the present invention.
The second aspect of the present invention also provides a self-color printing adaptive repair system 2, comprising: a memory 21 and a processor 22, wherein the memory includes a program of an adaptive color printing repairing method, and when executed by the processor, the program of the adaptive color printing repairing method realizes the following steps:
acquiring current color printing image information, preprocessing the current color printing image information, and extracting geometric features and color features in an image;
carrying out image difference extraction defects through geometric feature matching according to the current color printing image information and preset color printing image information, and obtaining chromaticity deviation according to color features;
performing image compensation on preset color printing image information through defect characteristics and chromaticity deviation, judging the defect type to generate a to-be-repaired area, and generating correction information of the to-be-repaired area according to the defect characteristics and the chromaticity deviation;
and resetting the printing parameters according to the correction information, repairing the defective part of the color-printed image, and updating the initial printing parameters according to the newly set printing parameters.
It should be noted that, the preprocessing the current color printing image information to extract the geometric features and color features in the image specifically includes: performing ashing treatment on current color printing image information to obtain a current color printing ashing image, and performing filtering denoising and image enhancement on the current color printing ashing image, wherein preferentially, the filtering denoising and the image enhancement can be realized by methods such as mean filtering, Gaussian filtering, histogram equalization and the like; performing edge detection on the current color printing ashing image through a Canny edge detection operator, segmenting a defect region by using a self-adaptive threshold value, removing an image background, acquiring independent and complete current color printing image information, and performing geometric correction on the current color printing image information; and performing feature extraction on the preprocessed current color printing image information to obtain geometric features and color features in the image.
According to the embodiment of the invention, the image difference extraction defect is carried out through geometric feature matching according to the current color printing image information and the preset color printing image information, and the chromaticity deviation is obtained according to the color feature, which specifically comprises the following steps:
performing image difference processing on the preprocessed current color printing image information and preset color printing image information to obtain a difference image and eliminate the outline in the difference image;
calculating the gray value of each pixel point in the differential image, and judging whether the gray value of each pixel point is greater than a preset gray threshold value or not;
if the number of the pixel points is larger than the preset value, marking the pixel points as defective pixel points, counting the number information of the defective pixel points, acquiring the position information and the size information of the defects according to the number and the position information of the pixel points, generating geometric deviation according to the position information and the size information, and if not, discarding the pixel points;
simultaneously, obtaining color values of pixel points in the current color printing image and preset color printing image information, and converting the color values into chromaticity coordinates in a Luv chromaticity space;
dividing the current color printing image and the preset color printing image into a plurality of regions through geometrical characteristics, and calculating the square sum of the difference value obtained by subtracting the coordinate value of the Luv chromaticity coordinate of the pixel point in the corresponding region in the current color printing image information from the coordinate value of the Luv chromaticity coordinate of the pixel point in the target region in the preset color printing image information;
and judging whether the square sum is larger than a preset threshold value or not, if so, proving that the target area in the current color printing image has abnormal chromaticity, and generating chromaticity deviation.
It is to be noted that, before performing image difference between the current color printing image and the preset color printing image, matching and registering the images are required, obtaining feature points in the current color printing image and the preset color printing image, calculating an euclidean distance between the feature points in the current color printing image and the feature points in the preset color printing image, obtaining a feature point with the closest euclidean distance and a feature point with the second closest euclidean distance, extracting the corresponding closest distance and the second closest distance, determining whether a ratio of the closest distance to the second closest distance is smaller than a preset distance threshold, if so, proving that the feature point is a matching point, obtaining the matching point in the current color printing image and the preset color printing image, and simultaneously obtaining the matching point in the preset color printing image and the matching point in the current color printing image, obtaining the same matching point in the matching points obtained twice, and performing image registration through the matching points.
The defect in the color printing process is mostly the missing or overlapping of the pattern, so the position with the defect is different from the gray value of the position without the defect, the defect information in the difference image is judged according to the difference of the gray values, and the calculation formula is as follows:
wherein,
to representThe gray values of the pixels in the difference image,
which is indicative of a correction factor, is,
representing the gray value of a pixel point in the preset color printing image information,
representing the gray values of the pixel points in the current color-printed image information,
indicating a correction parameter; when the gray value comparison judgment is carried out, when the gray value of the pixel point in the differential image is a negative number, the absolute value of the gray value of the pixel point is removed for judgment.
The LUV color space is designed according to the perception of color by the human visual system, has uniformity, and is uncorrelated for each color component. For LUV color space, L denotes luminance, chrominance information is only in the U and V channels, and the description of the target region is obtained using only the values of the U and V color channels.
It should be noted that, the image compensation of the preset color printing image information through the defect characteristics and the chromaticity deviation specifically includes:
marking the defect position information in the current color printing image information in the preset color printing image information, and marking the mark area in the preset color printing image information;
constructing an image reconstruction model based on a convolutional neural network, and reconstructing an image of a marked region according to the defect characteristics and the characteristics of the marked region according to the image reconstruction model to realize the enhancement of the geometric and color details of the marked region;
and generating chrominance compensation information according to the chrominance deviation of the chrominance deviation area to compensate the preset color printing image information.
The method comprises the steps of constructing an image reconstruction model, constructing based on a convolutional neural network, acquiring massive color image information, preprocessing the acquired color image information to construct a training set and a verification set, converting image data of the training set from red, green and blue color spaces into luminance, blue chrominance and red chrominance spaces, extracting luminance, converting image information of a test set from the red, green and blue color spaces into luminance, blue chrominance and red chrominance color spaces, taking the extracted luminance as the test set, inputting the training set into the constructed convolutional neural network, and training by dynamically adjusting the learning rate of the network model to obtain the trained image reconstruction model.
It should be noted that, resetting the printing parameters according to the correction information, repairing the defective portion of the color-printed image, and updating the initial printing parameters according to the newly set printing parameters specifically include:
classifying the defects according to the geometrical characteristics of the defects in the current color printing image information to obtain classification information of the defects, and judging whether the defects can be repaired or not according to the classification information of the defects and the chromaticity deviation of the chromaticity deviation area;
if the defect or the regional chromaticity deviation can be repaired, generating printing compensation information through the chromaticity deviation and the geometric deviation of the region to be repaired, and repairing the color printing defect and the chromaticity deviation region according to the printing compensation information and the printing compensation information;
and resetting the printing parameters according to the printing compensation information, and updating and replacing the initial printing parameters.
It should be noted that, the defects are divided into point defects, line defects, and surface defects, each defect evaluation score table is preset, the geometric features of the defects in the current color printing image information are used to classify the defects, the defects are evaluated and judged according to each defect evaluation score table, when the complexity scores of the defects are within a preset range, the defects are judged to be repairable, when printing compensation information is generated, all the defects need to be taken into account, and the original printing parameters are compensated through the chromaticity deviation and the geometric deviation of the area to be repaired.
It should be noted that the present invention further includes:
acquiring the position and size information of the area to be repaired according to the position and size information of the defect in the current color printing image;
acquiring the regional characteristics of a target region to be repaired, and calculating the similarity between the remaining region to be repaired and the target region to be repaired according to the regional characteristics;
presetting a similarity threshold, and carrying out comparative analysis on the similarity and the similarity threshold;
if the similarity is larger than or equal to a similarity threshold, judging that the current to-be-repaired area and the target to-be-repaired area are the same type of area, reading the repair data of the target to-be-repaired area, and adjusting the repair sample block according to the size information of the current to-be-repaired area;
and if the similarity is smaller than the similarity threshold, acquiring the repair parameters according to the current regional characteristics of the region to be repaired, and updating the regional characteristics of the target region to be repaired into the regional characteristics of the current region to be repaired after the previous similar region is searched.
According to the embodiment of the invention, the invention further comprises the step of constructing a printing parameter database, which specifically comprises the following steps:
constructing a printing parameter database, wherein the printing parameter database comprises historical printing image information, corrected and compensated image information and corrected and compensated printing parameters;
carrying out similarity comparison in the printing parameter database according to the obtained geometric characteristics and color characteristics of the current image to be printed, and obtaining historical printing image information in the printing parameter database, wherein the similarity between the historical printing image information and the image to be printed meets the requirement of a preset value;
correcting and compensating the current image to be printed according to the image compensation parameters of the same area in the corrected and compensated image information corresponding to the obtained historical printing image information;
and if the same position of the image to be printed has defect information in the printing process, acquiring defect characteristics to update the corrected and compensated image information and the corrected and compensated printing parameters in the same area in the database.
It should be noted that, in order to increase the printing efficiency of the printed image, before the image to be printed is printed, the image compensation data corresponding to the historical printed image information with the similarity meeting the requirement in the historical printed image is extracted according to the database retrieval, and the image compensation is performed on the image to be printed in advance through the image compensation data, so that the occurrence rate of defects in the printing process and the subsequent calculation amount for compensating the printing parameters through defect detection are greatly reduced, wherein the similarity comparison can be Euclidean distance or cosine comparison.
The third aspect of the present invention further provides a computer-readable storage medium, where the computer-readable storage medium includes a program of an adaptive color printing repairing method, and when the program of the adaptive color printing repairing method is executed by a processor, the steps of the adaptive color printing repairing method are implemented as any one of the above-mentioned steps.
The invention discloses a self-adaptive repairing method, a system and a readable storage medium of self-color printing, which are characterized in that the information of a current color printing image is acquired, the information of the current color printing image is preprocessed, and geometric features and color features in the image are extracted; carrying out image difference extraction defects through geometric feature matching according to the current color printing image information and preset color printing image information, and obtaining chromaticity deviation according to color features; performing image compensation on preset color printing image information through defect characteristics and chromaticity deviation, judging the defect type to generate a to-be-repaired area, and generating correction information of the to-be-repaired area according to the defect characteristics and the chromaticity deviation; and resetting the printing parameters according to the correction information, repairing the defective part of the color-printed image, and updating the initial printing parameters according to the newly set printing parameters. The invention realizes the repair and compensation of the preset color printing image and the initial printing parameters through defect detection, avoids the reappearance of the printing defects, and improves the color printing efficiency and the color printing quality.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above-described device embodiments are merely illustrative, for example, the division of the unit is only a logical functional division, and there may be other division ways in actual implementation, such as: multiple units or components may be combined, or may be integrated into another system, or some features may be omitted, or not implemented. In addition, the coupling, direct coupling or communication connection between the components shown or discussed may be through some interfaces, and the indirect coupling or communication connection between the devices or units may be electrical, mechanical or other forms.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units; can be located in one place or distributed on a plurality of network units; some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, all the functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately regarded as one unit, or two or more units may be integrated into one unit; the integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional unit.
Those of ordinary skill in the art will understand that: all or part of the steps for realizing the method embodiments can be completed by hardware related to program instructions, the program can be stored in a computer readable storage medium, and the program executes the steps comprising the method embodiments when executed; and the aforementioned storage medium includes: a mobile storage device, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
Alternatively, the integrated unit of the present invention may be stored in a computer-readable storage medium if it is implemented in the form of a software functional module and sold or used as a separate product. Based on such understanding, the technical solutions of the embodiments of the present invention may be essentially implemented or a part contributing to the prior art may be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the methods described in the embodiments of the present invention. And the aforementioned storage medium includes: a removable storage device, a ROM, a RAM, a magnetic or optical disk, or various other media that can store program code.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the appended claims.
Claims (10)
1. A self-color printing self-adaptive repairing method is characterized by comprising the following steps:
acquiring current color printing image information, preprocessing the current color printing image information, and extracting geometric features and color features in an image;
carrying out image difference extraction defects through geometric feature matching according to the current color printing image information and preset color printing image information, and obtaining chromaticity deviation according to color features;
performing image compensation on preset color printing image information through defect characteristics and chromaticity deviation, judging the defect type to generate a to-be-repaired area, and generating correction information of the to-be-repaired area according to the defect characteristics and the chromaticity deviation;
and resetting the printing parameters according to the correction information, repairing the defective part of the color-printed image, and updating the initial printing parameters according to the newly set printing parameters.
2. The self-color printing self-adaptive repairing method according to claim 1, wherein the current color printing image information is preprocessed to extract geometric features and color features in the image, and specifically comprises:
performing ashing treatment on current color printing image information to obtain a current color printing ashing image, and filtering, denoising and enhancing the current color printing ashing image;
performing edge detection on the current color printing ashing image through an edge detection operator, segmenting a defect area by using a self-adaptive threshold value, removing an image background, acquiring independent and complete current color printing image information, and performing geometric correction on the current color printing image information;
and performing feature extraction on the preprocessed current color printing image information to obtain geometric features and color features in the image.
3. The self-color printing self-adaptive repairing method according to claim 1, wherein the image difference extraction defect is performed through geometric feature matching according to the current color printing image information and the preset color printing image information, and the chromaticity deviation is obtained according to color features, specifically:
performing image difference processing on the preprocessed current color printing image information and preset color printing image information to obtain a difference image and eliminate the outline in the difference image;
calculating the gray value of each pixel point in the differential image, and judging whether the gray value of each pixel point is greater than a preset gray threshold value or not;
if the number of the pixel points is larger than the preset value, marking the pixel points as defective pixel points, counting the number information of the defective pixel points, acquiring the position information and the size information of the defects according to the number and the position information of the pixel points, generating geometric deviation according to the position information and the size information, and if not, discarding the pixel points;
simultaneously, obtaining color values of pixel points in the current color printing image and preset color printing image information, and converting the color values into chromaticity coordinates in a Luv chromaticity space;
dividing the current color printing image and the preset color printing image into a plurality of regions through geometrical characteristics, and calculating the square sum of the difference value obtained by subtracting the coordinate value of the Luv chromaticity coordinate of the pixel point in the corresponding region in the current color printing image information from the coordinate value of the Luv chromaticity coordinate of the pixel point in the target region in the preset color printing image information;
and judging whether the square sum is larger than a preset threshold value or not, if so, proving that the target area in the current color printing image has abnormal chromaticity, and generating chromaticity deviation.
4. The self-color printing self-adaptive repairing method according to claim 1, wherein the image compensation is performed on the preset color printing image information through defect characteristics and chromaticity deviation, and specifically comprises:
marking the defect position information in the current color printing image information in the preset color printing image information, and marking the mark area in the preset color printing image information;
constructing an image reconstruction model based on a convolutional neural network, and reconstructing an image of a marked region according to the defect characteristics and the characteristics of the marked region according to the image reconstruction model to realize the enhancement of the geometric and color details of the marked region;
and generating chrominance compensation information according to the chrominance deviation of the chrominance deviation area to compensate the preset color printing image information.
5. The self-color printing self-adaptive repairing method according to claim 1, wherein the resetting of the printing parameters according to the correction information repairs the defective portion of the color printing image, and the updating of the initial printing parameters according to the new printing parameters specifically comprises:
classifying the defects according to the geometrical characteristics of the defects in the current color printing image information to obtain classification information of the defects, and judging whether the defects can be repaired or not according to the classification information of the defects and the chromaticity deviation of the chromaticity deviation area;
if the defect or the regional chromaticity deviation can be repaired, generating printing compensation information through the chromaticity deviation and the geometric deviation of the region to be repaired, and repairing the color printing defect and the chromaticity deviation region according to the printing compensation information;
and resetting the printing parameters according to the printing compensation information, and updating and replacing the initial printing parameters.
6. The self-color printing self-adaptive repair method according to claim 1, further comprising:
acquiring the position and size information of the area to be repaired according to the position and size information of the defect in the current color printing image;
acquiring the regional characteristics of a target region to be repaired, and calculating the similarity between the remaining region to be repaired and the target region to be repaired according to the regional characteristics;
presetting a similarity threshold, and carrying out comparative analysis on the similarity and the similarity threshold;
if the similarity is larger than or equal to a similarity threshold, judging that the current to-be-repaired area and the target to-be-repaired area are the same type of area, reading the repair data of the target to-be-repaired area, and adjusting the repair sample block according to the size information of the current to-be-repaired area;
and if the similarity is smaller than the similarity threshold, acquiring the repair parameters according to the current regional characteristics of the region to be repaired, and updating the regional characteristics of the target region to be repaired into the regional characteristics of the current region to be repaired after the previous similar region is searched.
7. An adaptive color printing repair system, comprising: the memory comprises a self-color printing self-adaptive repair method program, and the processor executes the self-color printing self-adaptive repair method program to realize the following steps:
acquiring current color printing image information, preprocessing the current color printing image information, and extracting geometric features and color features in an image;
carrying out image difference extraction defects through geometric feature matching according to the current color printing image information and preset color printing image information, and obtaining chromaticity deviation according to color features;
performing image compensation on preset color printing image information through defect characteristics and chromaticity deviation, judging the defect type to generate a to-be-repaired area, and generating correction information of the to-be-repaired area according to the defect characteristics and the chromaticity deviation;
and resetting the printing parameters according to the correction information, repairing the defective part of the color-printed image, and updating the initial printing parameters according to the newly set printing parameters.
8. The self-color printing self-adaptive repair system according to claim 7, wherein the image difference extraction defect is performed by matching geometric features according to the current color printing image information and the preset color printing image information, and the chromaticity deviation is obtained according to color features, specifically:
performing image difference processing on the preprocessed current color printing image information and preset color printing image information to obtain a difference image and eliminate the outline in the difference image;
calculating the gray value of each pixel point in the differential image, and judging whether the gray value of each pixel point is greater than a preset gray threshold value or not;
if the number of the pixel points is larger than the preset value, marking the pixel points as defective pixel points, counting the number information of the defective pixel points, acquiring the position information and the size information of the defects according to the number and the position information of the pixel points, generating geometric deviation according to the position information and the size information, and if not, discarding the pixel points;
simultaneously, obtaining color values of pixel points in the current color printing image and preset color printing image information, and converting the color values into chromaticity coordinates in a Luv chromaticity space;
dividing the current color printing image and the preset color printing image into a plurality of regions through geometrical characteristics, and calculating the square sum of the difference value obtained by subtracting the coordinate value of the Luv chromaticity coordinate of the pixel point in the corresponding region in the current color printing image information from the coordinate value of the Luv chromaticity coordinate of the pixel point in the target region in the preset color printing image information;
and judging whether the square sum is larger than a preset threshold value or not, if so, proving that the target area in the current color printing image has abnormal chromaticity, and generating chromaticity deviation.
9. The adaptive color printing repair system according to claim 7, further comprising:
acquiring the position and size information of the area to be repaired according to the position and size information of the defect in the current color printing image;
acquiring the regional characteristics of a target region to be repaired, and calculating the similarity between the remaining region to be repaired and the target region to be repaired according to the regional characteristics;
presetting a similarity threshold, and carrying out comparative analysis on the similarity and the similarity threshold;
if the similarity is larger than or equal to a similarity threshold, judging that the current to-be-repaired area and the target to-be-repaired area are the same type of area, reading the repair data of the target to-be-repaired area, and adjusting the repair sample block according to the size information of the current to-be-repaired area;
and if the similarity is smaller than the similarity threshold, acquiring the repair parameters according to the current regional characteristics of the region to be repaired, and updating the regional characteristics of the target region to be repaired into the regional characteristics of the current region to be repaired after the previous similar region is searched.
10. A computer-readable storage medium characterized by: the computer readable storage medium includes a program of an adaptive color printing repairing method, which when executed by a processor, implements the steps of an adaptive color printing repairing method according to any one of claims 1 to 6.
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