CN113592831A - Method and device for detecting printing error and storage medium - Google Patents

Method and device for detecting printing error and storage medium Download PDF

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CN113592831A
CN113592831A CN202110894821.4A CN202110894821A CN113592831A CN 113592831 A CN113592831 A CN 113592831A CN 202110894821 A CN202110894821 A CN 202110894821A CN 113592831 A CN113592831 A CN 113592831A
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image
gray
printing error
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CN113592831B (en
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张蓬
陈华慧
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Beijing Founder Easiprint Co ltd
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Beijing Founder Easiprint Co ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/0002—Inspection of images, e.g. flaw detection
    • G06T7/0004—Industrial image inspection
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/11—Region-based segmentation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/136—Segmentation; Edge detection involving thresholding
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/60—Analysis of geometric attributes
    • G06T7/62—Analysis of geometric attributes of area, perimeter, diameter or volume
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10004—Still image; Photographic image
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20016—Hierarchical, coarse-to-fine, multiscale or multiresolution image processing; Pyramid transform
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20021—Dividing image into blocks, subimages or windows
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30108—Industrial image inspection
    • G06T2207/30144—Printing quality
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/30—Computing systems specially adapted for manufacturing

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  • Computer Vision & Pattern Recognition (AREA)
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Abstract

The embodiment of the application provides a method, a device and a storage medium for detecting printing errors, wherein an image to be processed is coded to obtain a first image, the image to be processed is an image of a printed matter, and pixel points of the image to be processed are more than pixel points of the first image; carrying out pyramid decomposition processing on the first image to obtain a target image; and carrying out difference processing on the target image and the template image to determine a printing error area, wherein pixel points of the template image and the target image are the same. According to the technical scheme, the pyramid decomposition processing is carried out on the first image with the pixel points less than the image to be processed to obtain the target image, the speed of determining the printing error through the target image and the template image can be improved, the detection efficiency of the printing error is improved, and therefore the printing error can be detected in real time in the printing process.

Description

Method and device for detecting printing error and storage medium
Technical Field
The present disclosure relates to the field of printing technologies, and in particular, to a method and an apparatus for detecting a printing error, and a storage medium.
Background
Printing is a technique of transferring ink to the surface of paper, textiles, plastics, leather, PVC, PC, or other materials by plate making, inking, and pressing original documents such as characters, pictures, photographs, and forgery prevention, and copying the contents of the original documents in bulk. In the printing process, errors such as partial content blurring and misplacement may occur in the printed matter due to the high printing speed of the mechanical equipment used for printing. Therefore, it is necessary to determine the error area in time during the printing process.
In the prior art, during the printing process, the area where the error occurs can be determined by a conventional image contrast method, specifically: and differentiating the image of the template printed matter and the image of the printed matter printed at present to obtain a differentiated image, processing the differentiated image by adopting methods such as morphological change or blob search and the like, and determining an error area. Or, determining an error area by a feature comparison method, specifically: the method comprises the steps of carrying out Fourier transformation on an image of a template printed matter to obtain a transformed first image, carrying out Fourier transformation on the image of the printed matter printed at present to obtain a transformed second image, and determining a difference area of the images as a printing error area by comparing the first image with the second image.
However, both the image of the template printed matter and the image of the printed matter printed at present contain a large number of pixel points, and therefore, when the image is processed by the conventional image comparison method and the feature comparison method, the processing speed may be slow, so that the detection efficiency of the printing error is low, and the real-time detection of the printing error in the printing process cannot be realized.
Disclosure of Invention
The embodiment of the application provides a method and a device for detecting a printing error and a storage medium, which can improve the detection speed of the printing error, thereby realizing real-time detection of the printing error in the printing process.
In a first aspect, an embodiment of the present application provides a method for detecting a printing error, where the method for detecting a printing error includes:
the method comprises the steps of coding an image to be processed to obtain a first image, wherein the image to be processed is an image of a printed matter, and pixel points of the image to be processed are more than pixels of the first image.
And carrying out pyramid decomposition processing on the first image to obtain a target image.
And carrying out difference processing on the target image and the template image to determine a printing error area, wherein the pixel points of the template image and the target image are the same.
In a possible implementation manner, the encoding processing on the image to be processed to obtain a first image includes:
and carrying out segmentation processing on the image to be processed to obtain a plurality of segmentation units.
And respectively carrying out coding processing on each of the plurality of segmentation units, and combining the coded segmentation units to obtain the first image.
In one possible implementation manner, the separately performing an encoding process on each of the plurality of partition units includes:
and for each segmentation unit, carrying out gray distribution statistics on the gray image corresponding to the segmentation unit, and determining a plurality of gray values in the gray image and a weight value corresponding to each gray value.
And coding the segmentation unit according to each gray value in the gray image and the weight value corresponding to each gray value.
In a possible implementation manner, the encoding the segmentation unit according to each gray-scale value in the gray-scale image and a weight value corresponding to each gray-scale value includes:
and calculating the product of each gray value and the weight value corresponding to each gray value to obtain a plurality of gray product.
Determining a sum of the plurality of gray scale products as an encoding value of the division unit.
And coding the partition unit according to the coding value of the partition unit.
In a possible implementation manner, the performing pyramid decomposition processing on the first image to obtain a target image includes:
and determining the pyramid layer number of the image corresponding to pyramid decomposition processing according to the error area threshold.
And carrying out pyramid decomposition processing on the first image according to the image pyramid layer number to obtain the target image.
In a possible implementation manner, the performing a difference process on the target image and the template image to determine a printing error area includes:
and respectively carrying out registration processing on the target image and the template image to obtain a registered target image and a registered template image.
And according to a difference threshold value, carrying out difference processing on the registered target image and the registered template image, and determining a printing error area.
In a possible implementation manner, the determining a printing error region by performing a difference processing on the registered target image and the registered template image according to a difference threshold includes:
and calculating the difference value of the pixel value corresponding to the registered target image and the pixel value corresponding to the registered template image.
And determining a target difference value with the difference value larger than the difference threshold value, and determining an area corresponding to the target difference value as a printing error area.
In a possible implementation manner, after determining the printing error area, the method further includes:
and outputting alarm information, wherein the alarm information comprises the position of the printing error area and the size of the printing error area.
In a second aspect, an embodiment of the present application provides a device for detecting a printing error, where the device for detecting a printing error includes:
the processing unit is used for coding an image to be processed to obtain a first image, the image to be processed is an image of a printed matter, and pixel points of the image to be processed are more than pixel points of the first image.
And the processing unit is also used for carrying out pyramid decomposition processing on the first image to obtain a target image.
And the determining unit is used for carrying out difference processing on the target image and the template image and determining a printing error area.
In a possible implementation manner, the processing unit is specifically configured to perform segmentation processing on the image to be processed to obtain a plurality of segmentation units; and respectively carrying out coding processing on each of the plurality of segmentation units, and combining the coded segmentation units to obtain the first image.
In a possible implementation manner, the processing unit is specifically configured to perform, for each segmentation unit, gray scale distribution statistics on a gray scale image corresponding to the segmentation unit, and determine a plurality of gray scale values in the gray scale image and a weight value corresponding to each gray scale value; and coding the segmentation unit according to each gray value in the gray image and the weight value corresponding to each gray value.
In a possible implementation manner, the processing unit is specifically configured to calculate a product of each gray scale value and a weight value corresponding to each gray scale value to obtain a plurality of gray scale products; determining a sum of the plurality of gray scale products as an encoded value of the division unit; and coding the partition unit according to the coding value of the partition unit.
In a possible implementation manner, the processing unit is specifically configured to determine, according to an error area threshold, a number of image pyramid layers corresponding to pyramid decomposition processing; and carrying out pyramid decomposition processing on the first image according to the image pyramid layer number to obtain the target image.
Optionally, the determining unit is specifically configured to perform registration processing on the target image and the template image respectively to obtain a registered target image and a registered template image; and according to a difference threshold value, carrying out difference processing on the registered target image and the registered template image, and determining a printing error area.
In a possible implementation manner, the determining is specifically configured to calculate a difference between a pixel value corresponding to the registered target image and a pixel value corresponding to the registered template image; and determining a target difference value with the difference value larger than the difference threshold value, and determining an area corresponding to the target difference value as a printing error area.
In a possible implementation manner, the apparatus further includes an alarm module, where the alarm module is configured to output alarm information, where the alarm information includes a position of the printing error area and a size of the printing error area.
In a third aspect, an embodiment of the present application further provides a device for detecting a printing error, where the device for detecting a printing error may include a memory and a processor; wherein the content of the first and second substances,
the memory is used for storing the computer program.
The processor is configured to read the computer program stored in the memory, and execute the method for detecting a printing error according to any one of the possible implementation manners of the first aspect.
In a fourth aspect, an embodiment of the present application further provides a computer-readable storage medium, where a computer-executable instruction is stored in the computer-readable storage medium, and when a processor executes the computer-executable instruction, the method for detecting a printing error is implemented as described in any one of the foregoing possible implementation manners of the first aspect.
In a fifth aspect, the present application further provides a computer program product, which includes a computer program, and when the computer program is executed by a processor, the method for detecting a printing error is implemented as described in any one of the possible implementation manners of the first aspect.
Therefore, the embodiment of the application provides a method, a device and a storage medium for detecting printing errors, wherein the image to be processed is an image of a printed matter, and pixel points of the image to be processed are more than pixel points of the first image; carrying out pyramid decomposition processing on the first image to obtain a target image; and carrying out difference processing on the target image and the template image to determine a printing error area, wherein pixel points of the template image and the target image are the same. According to the technical scheme, the pyramid decomposition processing is carried out on the first image with the pixel points less than the image to be processed to obtain the target image, so that the printing error area can be quickly determined through the target image and the template image with the same pixel points, the printing error detection efficiency is improved, and the real-time detection of the printing error in the printing process is realized.
Drawings
Fig. 1 is a schematic diagram illustrating a method for detecting a printing error according to an embodiment of the present disclosure;
fig. 2 is a flowchart illustrating a pyramid decomposition processing method according to an embodiment of the present disclosure
Fig. 3 is a schematic diagram of an image processed by pyramid decomposition according to an embodiment of the present disclosure;
fig. 4 is a schematic structural diagram of a printing error detection apparatus according to an embodiment of the present disclosure;
fig. 5 is a schematic structural diagram of another printing error detection apparatus according to an embodiment of the present application.
With the foregoing drawings in mind, certain embodiments of the disclosure have been shown and described in more detail below. These drawings and written description are not intended to limit the scope of the disclosed concepts in any way, but rather to illustrate the concepts of the disclosure to those skilled in the art by reference to specific embodiments.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the exemplary embodiments below are not intended to represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present disclosure, as detailed in the appended claims.
In the embodiments of the present application, "at least one" means one or more, "a plurality" means two or more. "and/or" describes the association relationship of the associated objects, meaning that there may be three relationships, e.g., a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone, wherein A and B can be singular or plural. In the description of the text of the present application, the character "/" generally indicates that the former and latter associated objects are in an "or" relationship.
The technical scheme provided by the embodiment of the application can be applied to a printing scene. In order to ensure the quality of printed products during the printing process, mechanical equipment can perform low-speed printing according to printing data, such as text information, pictures and the like, so as to form a template printed product. Or, the stencil printed matter can be inspected in a manual screening mode, and the stencil printed matter is determined to be printed matter without cause printing problems. Further, when the stencil printing product is printed at a high speed, the printed product may be blurred or misaligned due to damage to equipment or paper, and the like, so that the quality of the printed product may be poor. Therefore, during the printing process, the printed product needs to be detected, and whether an error area exists in the printed product or not is determined in time, so that corresponding improvement measures are taken.
In the prior art, during the printing process, the error area can be determined by a conventional image comparison method or a characteristic comparison method. The conventional image comparison method or the feature comparison method both needs to process the image of the stencil print and the image of the printed print, so as to compare the processed images, determine whether an error occurs, and determine an error area.
However, both the image of the printed stencil print and the image of the printed print currently contain a large number of pixels, and therefore, when the images are processed, the speed of image processing may be reduced, which may result in a low efficiency of detecting a printing error.
In order to solve the problem that the efficiency of detecting the error area of the printed matter is low due to more pixel points of the image in the printing process, the image of the template printed matter and the image of the printed matter which is printed at present can be subjected to coding processing and pyramid decomposition processing, so that the pixel points of the image are reduced, the printing error area can be quickly detected according to the processed image, the efficiency of detecting the printing error is improved, and the real-time detection of the printing error in the printing process can be realized.
Hereinafter, the method for detecting a printing error provided in the present application will be described in detail by specific examples. It is to be understood that the following detailed description may be combined with other embodiments, and that the same or similar concepts or processes may not be repeated in some embodiments.
Fig. 1 is a schematic flow chart of a method for detecting a printing error according to an embodiment of the present disclosure. The method for detecting the printing error can be executed by software and/or hardware device, for example, the hardware device can be a device for detecting the printing error, and the device for detecting the printing error can be a terminal or a processing chip in the terminal. For example, referring to fig. 1, the method for detecting the printing error may include:
s101, coding the image to be processed to obtain a first image.
In the embodiment of the application, the image to be processed is an image of a printed matter, and pixel points of the image to be processed are more than pixel points of the first image.
For example, the image to be processed is an image of a printed product printed according to the print data, and the image may be acquired by an image acquisition device, for example, a camera, a picture scanner, or the like. For example, when magazines are printed in batch, after each page of the magazine is printed, an image of the page needs to be acquired as an image to be processed in the embodiment of the present application.
When the image to be processed is coded to obtain a first image, the image to be processed can be segmented to obtain a plurality of segmentation units; and respectively carrying out coding processing on each of the plurality of the segmentation units, and combining the coded segmentation units to obtain a first image. Wherein, the segmentation units are in the form of images.
For example, when the image to be processed is segmented, the segmentation processing may be performed according to the pixel points of the image to be processed, so as to obtain a plurality of segmentation units. For example, the pixel points of the segmentation unit in the horizontal direction and the vertical direction are respectively 2, and the image to be processed is segmented into a plurality of 2 × 2 segmentation units, that is, each segmentation unit contains 4 pixel points; or, the pixel points of the segmentation unit in the horizontal direction and the vertical direction are respectively 4, and the image to be processed is segmented into a plurality of segmentation units of 4 × 4, that is, each segmentation unit comprises 16 pixel points; or, the pixel points of the segmentation unit in the horizontal direction and the vertical direction are respectively 8, and the image to be processed is segmented into a plurality of segmentation units of 8 × 8, that is, each segmentation unit contains 64 pixel points. The embodiment of the application does not limit the number of the pixel points contained in the segmentation unit.
It can be understood that, when the picture to be processed is segmented according to the pixel points, the number of the pixel points of each segmentation unit in the horizontal direction and the vertical direction can be at least 2, that is, each segmentation unit at least comprises 4 pixel points. The number of the pixel points contained in the segmentation unit can be set according to the number of the pixel points contained in the image to be processed, for example, for the image to be processed with a large number of pixel points, the segmentation unit can contain a large number of pixel points. The waiting processing can be quickly reduced, and the detection speed of the printing error area is further improved.
In the embodiment of the application, the to-be-processed image is converted into the first image with less pixel points by encoding the segmentation units formed by segmenting the to-be-processed image and combining the encoded segmentation units to obtain the first image, so that the printing error detection speed can be improved.
When encoding processing is performed on each of the plurality of segmentation units, gray scale distribution statistics may be performed on the gray scale image corresponding to the segmentation unit for each segmentation unit, so as to determine a plurality of gray scale values in the gray scale image and a weight value corresponding to each gray scale value; and coding the segmentation unit according to each gray value in the gray image and the weight value corresponding to each gray value.
For example, when performing gray distribution statistics on the gray image corresponding to the segmentation unit, the gray image corresponding to the segmentation unit may be determined first, and then the gray distribution statistics is performed to determine a gray histogram, where the gray histogram includes a plurality of gray values and a weight value corresponding to each gray value. The gray scale distribution statistics may be performed by a texture feature extraction method when performing the gray scale distribution statistics, or may be performed by other methods.
In the embodiment of the application, the coding processing is performed according to the multiple gray values in the gray image corresponding to the segmentation unit and the weight value corresponding to each gray value, that is, the segmentation unit is coded according to the importance of each gray value in each segmentation unit, so that the original information of the image to be processed can be accurately stored by the coding processing, and the accuracy of printing error detection is improved.
When the segmentation unit is coded according to each gray value in the gray image and the weight value corresponding to each gray value, the product of each gray value and the weight value corresponding to each gray value can be calculated to obtain a plurality of gray products; determining a sum of the plurality of gray products as an encoded value of the division unit; and coding the partition unit according to the coding value of the partition unit.
Illustratively, the code value of the division unit may be calculated by the following formula (1).
Figure BDA0003197460950000081
In formula (1), code represents a code value, histiRepresenting the ith grey value, theta, in a grey imageiRepresenting ith gray value pair in gray imageThe value of i is 0 to n, and n is a positive integer greater than 0.
For example, when a partition unit is encoded according to an encoded value of the partition unit, the encoded value may be directly determined as the encoding of the partition unit, or the encoded value may be simply converted, and the converted value is determined as the encoding of the partition unit.
In the embodiment of the application, the product of each gray value and the weight value corresponding to each gray value is calculated, and the sum of the gray products is determined as the code value of the segmentation unit, so that the determined code value can accurately reflect the information of the segmentation unit, and the accuracy of detecting the printing error is further improved.
According to the above embodiment, if the pixel points of the segmentation unit in the horizontal and vertical directions are 4, respectively, the image to be processed is segmented into a plurality of segmentation units of 4 × 4, that is, each segmentation unit contains 16 pixel points, then the first image can be regarded as 1/16 of the image to be processed; or, the pixel points of the segmentation unit in the horizontal and vertical directions are 8 respectively, and the image to be processed is segmented into a plurality of segmentation units of 8 × 8, that is, each segmentation unit contains 64 pixel points, then the first image can be regarded as 1/64 of the image to be processed.
And S102, carrying out pyramid decomposition processing on the first image to obtain a target image.
When the pyramid decomposition processing is performed on the first image to obtain the target image, the image pyramid layer number corresponding to the pyramid decomposition processing can be determined according to the error area threshold; and carrying out pyramid decomposition processing on the first image according to the pyramid layer number of the image to obtain a target image.
For example, the error area threshold may be determined according to the size of the image of the printed matter or the number of pixels. The size of the error area threshold is in direct proportion to the size of the image of the printed matter or the number of pixel points. That is to say, a larger error area threshold value may be set for an image of a printed matter having a larger size or having a larger number of pixels, and a smaller error area threshold value may be set for an image of a printed matter having a smaller size or having a smaller number of pixels. Thereby ensuring that the error zone can be accurately determined.
It can be understood that after the pyramid decomposition processing is performed, an image sequence corresponding to an image to be processed can be obtained, the image sequence takes the first image after the encoding processing as the first bit of the image sequence, the first layer of the pyramid image after the pyramid decomposition as the second bit of the image sequence, and so on until the position of the target image in the image sequence is determined.
In the embodiment of the application, the pyramid decomposition is performed on the first image, and the image pyramid layer number corresponding to the pyramid decomposition processing is determined according to the error area threshold, so that the bottom end of the first image processing value pyramid is not needed, the time for performing the pyramid decomposition on the first image is reduced, and the printing error detection efficiency is further improved.
And S103, carrying out difference processing on the target image and the template image, and determining a printing error area.
For example, in this embodiment of the application, the pixel points of the template image and the target image are the same, and the template image is an image obtained by performing the operations of S101 and S102 on the template print, that is, performing encoding processing on the image of the template print to obtain a second image, and performing pyramid decomposition processing on the second image to obtain the template image.
When the difference processing is carried out on the target image and the template image and the printing error area is determined, the target image and the template image can be respectively subjected to registration processing to obtain a registered target image and a registered template image; and according to the difference threshold, carrying out difference processing on the registered target image and the registered template image, and determining a printing error area.
For example, the registration process may be a geometric correction of the target image and the template image, i.e., a geometric alignment of the target image and the template image. For example, if the geometric shapes of the target image and the template image are both rectangles, the registration processing may be performed to align the rectangle corresponding to the target image and the rectangle corresponding to the template image, so that the rectangle corresponding to the target image and the rectangle corresponding to the template image completely coincide with each other.
In the embodiment of the application, the accuracy of detecting the printing error can be improved by performing registration processing on the target image and the template image and performing difference processing on the registered images to determine the printing error area.
When the difference processing is performed on the registered target image and the registered template image according to the difference threshold value to determine the printing error area, the difference value between the pixel value corresponding to the registered target image and the pixel value corresponding to the registered template image can be calculated; and determining a target difference value with the difference value larger than the difference threshold value, and determining an area corresponding to the target difference value as a printing error area. For example, the size of the difference threshold may be set according to an actual situation, which is not limited in this embodiment of the application.
In the embodiment of the application, by calculating the difference between the pixel value corresponding to the registered target image and the pixel value corresponding to the registered template image, the similar part of the target image and the template image can be weakened, the changed part of the image can be highlighted, the area corresponding to the difference of the part of which the difference is greater than the difference threshold value is determined as the printing error area, and the accuracy of the determined printing error area can be improved.
Therefore, according to the method for detecting the printing error, the first image with the pixel points less than that of the image to be processed is obtained by encoding the image to be processed, and the pixel points of the image to be processed are reduced; and the pyramid decomposition processing is carried out on the first image to obtain a target image, so that a printing error area can be quickly determined through the target image and the template image with the same pixel points, the printing error detection efficiency is improved, and the real-time detection of the printing error in the printing process is realized.
For example, after the printing error area is determined, warning information may be output, where the warning information includes a position of the printing error area and a size of the printing error area. It should be understood that, the embodiment of the present application is only described by taking the example that the warning information includes the position of the printing error area and the size of the printing error area, but the embodiment of the present application is not limited thereto.
For example, when the warning information is output, the warning information may be directly output through a printing device, and the output mode may be a text, an image, or a voice prompt, which is not limited in this embodiment of the present application. Or, the warning information may be output on the terminal device of the user, for example, by a short message reminding or an application program reminding, which is not limited in this embodiment of the present application.
In the embodiment of the application, the user can be timely reminded of the existence of the printing error area in the printed matter in the printing process by outputting the alarm information so as to execute corresponding remedial measures on the printed matter.
In order to facilitate understanding of the method for detecting a printing error provided in the embodiment of the present application, the step S102 will be described in detail below, and specifically, refer to fig. 2, where fig. 2 is a schematic flow chart of a method for pyramid decomposition processing provided in the embodiment of the present application. The pyramid decomposition processing method can comprise the following steps:
s201, Gaussian low-pass filtering processing is carried out on the first image to obtain a third image.
For example, when the first image is subjected to gaussian low-pass filtering to obtain the third image, the first image may be subjected to gaussian kernel convolution to obtain the third image. The specific gaussian kernel convolution method is not limited in this respect in this embodiment of the present application.
S202, the third image is subjected to down-sampling processing to obtain a fourth image.
For example, when the convolution image is downsampled to obtain the fourth image, all the even-numbered rows and all the even-numbered columns of the pixel points in the third image may be removed to obtain the fourth image, which is the first layer of the image pyramid. It will be appreciated that the first level of the image pyramid is 1/4 of the first image.
For example, if the first image is 1/64 of the image to be processed, the first level of the image pyramid is 1/128 of the image to be processed.
S203, determining the pyramid layer number of the image corresponding to pyramid decomposition processing according to the error area threshold; and repeating the step S201 and the step S202 according to the image pyramid layer number to obtain the target image.
For example, determining the pyramid layer number corresponding to pyramid decomposition processing according to the error area threshold may be referred to in the foregoing embodiments, and details of this embodiment are not repeated herein. The above steps S201 and S202 are repeated, that is, the fourth image left key is reduced to 1/4 by repeating the above steps S201 and S202 until the target image is obtained.
For example, if the image pyramid level is determined to be 3 levels, the target image may be determined to be the 3 rd level of the pyramid image, i.e., the target image is 1/4096 of the first image.
In this embodiment of the present application, the above operation may be performed on a second image obtained after image processing of a template printed product to obtain a template image, and details of a process of determining the template image are not repeated in this embodiment of the present application.
Therefore, the pyramid decomposition processing method provided by the embodiment of the application performs gaussian low-pass filtering processing on the first image to obtain a third image; performing downsampling processing on the third image to obtain a fourth image; determining the pyramid layer number corresponding to pyramid decomposition processing according to the error area threshold; and repeating the steps according to the number of the image pyramid layers to obtain the target image. The determined pixel points of the target image are fewer, the printing error detection speed can be increased, and therefore the printing error detection efficiency is improved.
According to the foregoing embodiment, if the first image can be regarded as 1/64 of the image to be processed, and the number of layers of the image pyramid corresponding to the pyramid decomposition processing is determined to be 2 according to the error area threshold, the first-layer image of the image pyramid is 1/256 of the image to be processed, and the second-layer image of the image pyramid is 1/1024 of the image to be processed. Referring to fig. 3, fig. 3 is a schematic view of an image processed by pyramid decomposition according to an embodiment of the present disclosure. As shown in fig. 3, the first image is subjected to the first pyramid decomposition processing described in the foregoing embodiment to obtain a first-layer image of an image pyramid, and is subjected to the second pyramid decomposition processing described in the foregoing embodiment to obtain a target image.
Therefore, according to the technical scheme provided by the embodiment of the application, the number of the pixel points of the image to be processed can be reduced to obtain the target image, the printing error area is determined according to the target image and the template image with fewer pixel points, the speed of determining the printing error area is increased, the efficiency of determining the printing error area is increased, and the printing error can be detected in real time.
Fig. 4 is a schematic structural diagram of a printing error detection apparatus 40 according to an embodiment of the present application, and for example, referring to fig. 4, the printing error detection apparatus 40 may include:
the processing unit 401 is configured to perform encoding processing on an image to be processed to obtain a first image, where the image to be processed is an image of a printed matter, and pixel points of the image to be processed are more than pixel points of the first image.
The processing unit 401 is further configured to perform pyramid decomposition processing on the first image to obtain a target image.
A determining unit 401, configured to perform difference processing on the target image and the template image, and determine a printing error area.
Optionally, the processing unit 401 is specifically configured to perform segmentation processing on the image to be processed to obtain a plurality of segmentation units; and respectively carrying out coding processing on each of the plurality of the segmentation units, and combining the coded segmentation units to obtain a first image.
Optionally, the processing unit 401 is specifically configured to perform gray scale distribution statistics on the gray scale image corresponding to the segmentation unit for each segmentation unit, and determine a plurality of gray scale values in the gray scale image and a weight value corresponding to each gray scale value; and coding the segmentation unit according to each gray value in the gray image and the weight value corresponding to each gray value.
Optionally, the processing unit 401 is specifically configured to calculate a product of each gray scale value and a weight value corresponding to each gray scale value, so as to obtain a plurality of gray scale products; determining a sum of the plurality of gray products as an encoded value of the division unit; and coding the partition unit according to the coding value of the partition unit.
Optionally, the processing unit 401 is specifically configured to determine, according to the error area threshold, the number of image pyramid layers corresponding to pyramid decomposition processing; and carrying out pyramid decomposition processing on the first image according to the pyramid layer number of the image to obtain a target image.
Optionally, the determining unit 402 is specifically configured to perform registration processing on the target image and the template image respectively to obtain a registered target image and a registered template image; and according to the difference threshold, carrying out difference processing on the registered target image and the registered template image, and determining a printing error area.
Optionally, the determining 402 is specifically configured to calculate a difference between a pixel value corresponding to the registered target image and a pixel value corresponding to the registered template image; and determining a target difference value with the difference value larger than the difference threshold value, and determining an area corresponding to the target difference value as a printing error area.
Optionally, the apparatus further comprises an alarm module 403. And an alarm module 403, configured to output alarm information, where the alarm information includes a position of the printing error area and a size of the printing error area.
The printing error detection device provided in the embodiment of the present application can execute the technical solution of the printing error detection method in any one of the above embodiments, and the implementation principle and the beneficial effect thereof are similar to those of the printing error detection method, and reference can be made to the implementation principle and the beneficial effect of the printing error detection method, which is not described herein again.
Fig. 5 is a schematic structural diagram of another printing error detection apparatus 50 according to an embodiment of the present application, for example, please refer to fig. 5, where the printing error detection apparatus 50 may include a processor 501 and a memory 502; wherein the content of the first and second substances,
the memory 502 is used for storing computer programs.
The processor 501 is configured to read the computer program stored in the memory 502, and execute the technical solution of the method for detecting a printing error in any of the embodiments according to the computer program in the memory 502.
Alternatively, the memory 502 may be separate or integrated with the processor 501. When the memory 502 is a device independent from the processor 501, the printing error detection apparatus 50 may further include: a bus for connecting the memory 502 and the processor 501.
Optionally, this embodiment further includes: a communication interface that may be connected to the processor 501 through a bus. The processor 501 may control the communication interface to implement the functions of receiving and transmitting the printing error detection device 50 described above.
The printing error detection apparatus 50 shown in the embodiment of the present application can execute the technical solution of the printing error detection method in any of the above embodiments, and its implementation principle and beneficial effect are similar to those of the printing error detection method, and reference can be made to the implementation principle and beneficial effect of the printing error detection method, which is not described herein again.
An embodiment of the present application further provides a computer-readable storage medium, where a computer execution instruction is stored in the computer-readable storage medium, and when a processor executes the computer execution instruction, the technical solution for implementing the method for detecting a printing error in any of the above embodiments is implemented.
The embodiment of the present application further provides a computer program product, which includes a computer program, and when the computer program is executed by a processor, the technical solution of the method for detecting a printing error in any of the above embodiments is implemented, and the implementation principle and the beneficial effect of the method for detecting a printing error are similar to those of the method for detecting a printing error, which can be referred to as the implementation principle and the beneficial effect of the method for detecting a printing error, and are not described herein again.
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. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts shown as units may or may not be physical units, may be located in one position, or may be 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, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are 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.
The integrated module implemented in the form of a software functional module may be stored in a computer-readable storage medium. The software functional module is stored in a storage medium and includes several instructions to enable a computer device (which may be a personal computer, a server, or a network device) or a processor (processor) to execute some steps of the methods according to the embodiments of the present application.
It should be understood that the Processor may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of a method disclosed in connection with the present invention may be embodied directly in a hardware processor, or in a combination of the hardware and software modules within the processor.
The memory may comprise a high-speed RAM memory, and may further comprise a non-volatile storage NVM, such as at least one disk memory, and may also be a usb disk, a removable hard disk, a read-only memory, a magnetic or optical disk, etc.
The bus may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, an Extended ISA (EISA) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, the buses in the figures of the present application are not limited to only one bus or one type of bus.
The computer-readable storage medium may be implemented by any type or combination of volatile or non-volatile memory devices, such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disks. A storage media may be any available media that can be accessed by a general purpose or special purpose computer.
Finally, it should be noted that: the above embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present application.

Claims (12)

1. A method for detecting a printing error, comprising:
coding an image to be processed to obtain a first image, wherein the image to be processed is an image of a printed matter, and pixel points of the image to be processed are more than pixel points of the first image;
carrying out pyramid decomposition processing on the first image to obtain a target image;
and carrying out difference processing on the target image and the template image to determine a printing error area, wherein the pixel points of the template image and the target image are the same.
2. The method according to claim 1, wherein the encoding the image to be processed to obtain the first image comprises:
performing segmentation processing on the image to be processed to obtain a plurality of segmentation units;
and respectively carrying out coding processing on each of the plurality of segmentation units, and combining the coded segmentation units to obtain the first image.
3. The method according to claim 2, wherein said separately encoding each partition unit of the plurality of partition units comprises:
for each segmentation unit, carrying out gray distribution statistics on a gray image corresponding to the segmentation unit, and determining a plurality of gray values in the gray image and a weight value corresponding to each gray value;
and coding the segmentation unit according to each gray value in the gray image and the weight value corresponding to each gray value.
4. The method according to claim 3, wherein the encoding the segmentation unit according to each gray-scale value in the gray-scale image and the weight value corresponding to each gray-scale value comprises:
calculating the product of each gray value and the weight value corresponding to each gray value to obtain a plurality of gray product;
determining a sum of the plurality of gray scale products as an encoded value of the division unit;
and coding the partition unit according to the coding value of the partition unit.
5. The method according to any one of claims 1 to 4, wherein the performing pyramid decomposition processing on the first image to obtain a target image comprises:
determining the pyramid layer number corresponding to pyramid decomposition processing according to the error area threshold;
and carrying out pyramid decomposition processing on the first image according to the image pyramid layer number to obtain the target image.
6. The method according to any one of claims 1-4, wherein said differencing said target image and said template image to determine a print error zone comprises:
respectively carrying out registration processing on the target image and the template image to obtain a registered target image and a registered template image;
and according to a difference threshold value, carrying out difference processing on the registered target image and the registered template image, and determining a printing error area.
7. The method of claim 6, wherein the determining a print error region by differencing the registered target image and the registered template image according to a difference threshold comprises:
calculating the difference value of the pixel value corresponding to the registered target image and the pixel value corresponding to the registered template image;
and determining a target difference value with the difference value larger than the difference threshold value, and determining an area corresponding to the target difference value as a printing error area.
8. The method of claim 7, wherein after determining the printing error zone, further comprising:
and outputting alarm information, wherein the alarm information comprises the position of the printing error area and the size of the printing error area.
9. A printing error detection apparatus, comprising:
the processing unit is used for coding an image to be processed to obtain a first image, wherein the image to be processed is an image of a printed matter, and pixel points of the image to be processed are more than pixel points of the first image;
the processing unit is further configured to perform pyramid decomposition processing on the first image to obtain a target image;
and the determining unit is used for carrying out difference processing on the target image and the template image and determining a printing error area.
10. A printing error detection device is characterized by comprising a memory and a processor; wherein the content of the first and second substances,
the memory for storing a computer program;
the processor is used for reading the computer program stored in the memory and executing a printing error detection method according to any one of the claims 1-8 according to the computer program in the memory.
11. A computer-readable storage medium having computer-executable instructions stored thereon, which when executed by a processor, implement a method of detecting a print error as claimed in any one of claims 1 to 8.
12. A computer program product comprising a computer program, characterized in that the computer program, when being executed by a processor, carries out a method of printing error detection as claimed in any one of the preceding claims 1 to 8.
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