CN113592831B - Printing error detection method, device and storage medium - Google Patents
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Abstract
The embodiment of the application provides a method, a device and a storage medium for detecting printing errors, which are used for carrying out coding processing on an image to be processed to obtain a first image, wherein the image to be processed is an image of a printed matter, and the pixel points of the image to be processed are more than those of the first image; pyramid decomposition processing is carried out on the first image, and a target image is obtained; and carrying out differential 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. According to the technical scheme, the first image with the pixel points less than the image to be processed is subjected to pyramid decomposition processing 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
Technical Field
The present disclosure relates to the field of printing technologies, and in particular, to a method and apparatus for detecting a printing error, and a storage medium.
Background
Printing is a technique of transferring ink onto surfaces of materials such as paper, textiles, plastics, leather, PVC, PC and the like by performing procedures such as plate making, ink application, pressurization and the like on originals such as characters, pictures, photos and anti-counterfeiting, and copying original contents in batches. In the printing process, errors such as fuzzy content and dislocation of the printed matter may occur due to the fact that the mechanical equipment used for printing is fast in printing manuscript. Therefore, in the printing process, it is necessary to determine the region where the error occurs in time.
In the prior art, during the printing process, the error-occurring area can be determined by a conventional image comparison method, and the method is specific: and differentiating the image of the template printed matter with the image of the printed matter which is printed at present to obtain an image after differentiation, and processing the image after differentiation by adopting methods such as morphological change or blob search to determine the region with errors. Or determining the error-occurring region by a characteristic comparison method, and specifically: performing Fourier transform on the image of the template printed matter to obtain a transformed first image, performing Fourier transform on the image of the current printed matter to obtain a transformed second image, and comparing the first image with the second image to determine a difference area of the image as a printing error area.
However, the image of the stencil printed matter and the image of the printed matter which is printed at present contain a large number of pixels, so when the image is processed by a conventional image comparison method and a feature comparison method, the processing speed may be slow, which results in low detection efficiency of the printing errors, and the real-time detection of the printing errors in the printing process cannot be realized.
Disclosure of Invention
The embodiment of the application provides a printing error detection method, a printing error detection device 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:
encoding the image to be processed to obtain a first image, wherein the image to be processed is an image of a printed matter, and the pixels of the image to be processed are more than those of the first image.
And carrying out pyramid decomposition processing on the first image to obtain a target image.
And carrying out differential 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 one possible implementation manner, the encoding processing is performed on the image to be processed to obtain a first image, including:
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 encoding processing is performed on each of the plurality of partition units, including:
and carrying out gray distribution statistics on the gray level image corresponding to each dividing unit aiming at each dividing unit, and determining a plurality of gray level values and weight values corresponding to each gray level value in the gray level image.
And carrying out coding processing on the segmentation unit according to each gray value and the weight value corresponding to each gray value in the gray image.
In one possible implementation manner, the encoding the segmentation unit according to each gray value and the weight value corresponding to each gray value in the gray image includes:
and calculating the product of each gray value and the weight value corresponding to each gray value to obtain a plurality of gray products.
And determining the sum of the gray products as the coding value of the dividing unit.
And encoding the dividing unit according to the encoding value of the dividing unit.
In one possible implementation manner, the performing pyramid decomposition processing on the first image to obtain a target image includes:
and determining the number of layers of the image pyramid corresponding to the 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 one possible implementation manner, the performing differential processing 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 carrying out differential processing on the registered target image and the registered template image according to a differential threshold value, and determining a printing error region.
In a possible implementation manner, the performing differential processing on the registered target image and the registered template image according to a differential threshold value to determine a printing error area includes:
and calculating a difference value 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, wherein the difference value is larger than the difference threshold value, and determining an area corresponding to the target difference value as a printing error area.
In one possible implementation manner, after the 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 carrying out coding processing on an image to be processed to obtain a first image, wherein the image to be processed is an image of a printed matter, and the pixel points of the image to be processed are more than those 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 differential 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 gray distribution statistics on a gray image corresponding to each segmentation unit for each segmentation unit, and determine a plurality of gray values and a weight value corresponding to each gray value in the gray image; and carrying out coding processing on the segmentation unit according to each gray value and the weight value corresponding to each gray value in the gray image.
In a possible implementation manner, the processing unit is specifically configured to calculate a product of each gray value and a weight value corresponding to each gray value, so as to obtain a plurality of gray products; determining a sum of the plurality of gray scale products as a coded value of the segmentation unit; and encoding the dividing unit according to the encoding value of the dividing unit.
In one 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, so as to obtain a registered target image and a registered template image; and carrying out differential processing on the registered target image and the registered template image according to a differential threshold value, and determining a printing error region.
In a possible implementation manner, the determining process is specifically configured to calculate a difference value 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, wherein the difference value is larger than the difference threshold value, and determining an area corresponding to the target difference value as a printing error area.
In one possible implementation, the apparatus further includes an alarm module for outputting alarm information, where the alarm information includes a position of the printing error region and a size of the printing error region.
In a third aspect, embodiments of the present application further provide a device for detecting a printing error, where the device for detecting a printing error may include a memory and a processor; wherein,
the memory is used for storing a 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 according to the computer program in the memory.
In a fourth aspect, an embodiment of the present application further provides a computer readable storage medium, where computer executable instructions are stored, and when a processor executes the computer executable instructions, the method for detecting a printing error in any one of possible implementation manners of the first aspect is implemented.
In a fifth aspect, embodiments of the present application further provide a computer program product, including a computer program, which when executed by a processor implements the method for detecting a printing error described in any one of the possible implementations of the first aspect.
Therefore, 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 an image of a printed matter, and pixels of the image to be processed are more than those of a first image; pyramid decomposition processing is carried out on the first image, and a target image is obtained; and carrying out differential 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. According to the technical scheme, pyramid decomposition processing is carried out on the first image with the pixel points less than the image to be processed, so that the target image is obtained, the printing error area can be rapidly determined through the target image with the same pixel points and the template image, the printing error detection efficiency is improved, and the printing error is detected in real time in the printing process.
Drawings
Fig. 1 is a schematic diagram of a method for detecting printing errors according to an embodiment of the present application;
fig. 2 is a flowchart of a pyramid decomposition processing method according to an embodiment of the present application
Fig. 3 is an image schematic diagram of pyramid decomposition processing according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of a device for detecting printing errors according to an embodiment of the present application;
Fig. 5 is a schematic structural diagram of another printing error detection device according to an embodiment of the present application.
Specific embodiments of the present disclosure have been shown by way of the above drawings and will be described in more detail below. These drawings and the written description are not intended to limit the scope of the disclosed concepts in any way, but rather to illustrate the disclosed concepts to those skilled in the art by reference to specific embodiments.
Detailed Description
Reference will now be made in detail to exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numbers in different drawings refer to the same or similar elements, unless otherwise indicated. The implementations described in the following exemplary examples are not representative of all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with some aspects of the present disclosure as detailed in the accompanying claims.
In embodiments of the present application, "at least one" means one or more, and "a plurality" means two or more. "and/or", describes an association relationship of an association object, and indicates that there may be three relationships, for example, a and/or B, and may indicate: there are three cases, a alone, a and B together, and B alone, wherein a, B may be singular or plural. In the text description of the present application, the character "/" generally indicates that the front-rear association object is an or relationship.
The technical scheme provided by the embodiment of the application can be applied to printed scenes. In the printing process, in order to ensure the quality of the printed matter, the mechanical device may perform low-speed printing according to the printing data, such as text information, pictures, etc., to form a stencil printed matter. Or, the template printed matter can be checked by manual screening, and the template printed matter is determined to be printed matter without printing problems. Further, the template printed matter is printed at a high speed, and in the printing process, problems such as blurring and misplacement of the printed matter may occur due to damage of machine equipment or paper, so that the quality of the printed matter is poor. Therefore, the printed matter needs to be detected in the printing process, and whether the printed matter has an error-occurring area or not is timely determined, so that corresponding improvement measures are carried out.
In the prior art, during printing, the error-generating region can be determined by a conventional image comparison method or a feature comparison method. The conventional image comparison method or the characteristic comparison method needs to process the image of the template printed matter and the image of the printed matter which is printed at present, so that the processed images are compared to determine whether errors occur or not and determine an error area.
However, since the image of the printed stencil print and the image of the currently printed print each include a large number of pixels, the image processing speed may be reduced when the image is processed, and the efficiency of printing error detection may be low.
In order to solve the problem that in the printing process, the efficiency of detecting the error area of a printed matter is low because of more pixel points of the image, the image of the printed matter on the template 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 rapidly 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.
Next, a method for detecting a printing error provided in the present application will be described in detail by way of specific examples. It is to be understood that the following embodiments may be combined with each other and that some embodiments may not be repeated for the same or similar concepts or processes.
Fig. 1 is a flow chart of a method for detecting printing errors according to an embodiment of the present application. The method for detecting printing errors may be performed by software and/or hardware means, for example, the hardware means may be a device for detecting printing errors, and the device for detecting printing errors may be a terminal or a processing chip in the terminal. For example, referring to fig. 1, the method for detecting a printing error may include:
S101, coding the image to be processed to obtain a first image.
In this embodiment of the present application, the image to be processed is an image of a print, and pixels of the image to be processed are more than pixels of the first image.
By way of example, the image to be processed is an image of a printed matter 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, and the method and the device for acquiring the image to be processed are not limited in this embodiment. For example, in printing magazines 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 subjected to coding processing to obtain a first image, the image to be processed can be subjected to segmentation processing 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 a first image. Wherein the segmentation units are all in the form of images.
For example, when the image to be processed is subjected to the segmentation processing, 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 dividing units in the horizontal direction and the vertical direction are respectively 2, and the image to be processed is divided into a plurality of 2×2 dividing units, namely, each dividing unit comprises 4 pixel points; or the pixel points of the dividing units in the horizontal direction and the vertical direction are respectively 4, and the image to be processed is divided into a plurality of 4×4 dividing units, namely each dividing unit comprises 16 pixel points; alternatively, the pixels of the dividing unit in the horizontal direction and the vertical direction are 8, respectively, and the image to be processed is divided into a plurality of 8×8 dividing units, that is, each dividing unit contains 64 pixels. The number of the pixel points included in the dividing unit is not limited in the embodiment of the present application.
It is understood that when the picture to be processed is divided according to the pixel points, the number of the pixel points of each dividing unit in the horizontal direction and the vertical direction may be at least 2, that is, each dividing unit includes at least 4 pixel points. The number of pixels included in the dividing unit may be set according to the number of pixels included in the image to be processed, for example, for an image to be processed having a larger number of pixels, the dividing unit may include a larger number of pixels. The method and the device enable to-be-processed to be rapidly reduced, so that the detection speed of the printing error region is further improved.
In the embodiment of the application, the image to be processed is converted into the first image with fewer pixels by performing encoding processing on the dividing units formed by dividing the image to be processed and combining the encoded dividing units to obtain the first image, so that the speed of printing error detection can be improved.
When each of the plurality of dividing units is respectively subjected to encoding processing, gray level distribution statistics can be performed on the gray level images corresponding to the dividing units for each dividing unit, and a plurality of gray level values and weight values corresponding to each gray level value in the gray level images are determined; and encoding the dividing unit according to each gray value and the weight value corresponding to each gray value in the gray image.
For example, when gray level distribution statistics is performed on the gray level images corresponding to the segmentation units, the gray level images corresponding to the segmentation units may be determined first, and then gray level distribution statistics may be performed, so as to determine a gray level histogram, where the gray level histogram includes a plurality of gray level values and a weight value corresponding to each gray level value. In the case of gray scale distribution statistics, gray scale distribution statistics may be performed by a texture feature extraction method, or may be performed by other methods.
In the embodiment of the application, the encoding processing is performed according to the gray values in the gray image corresponding to the dividing unit and the weight value corresponding to each gray value, namely, the encoding processing is performed on the dividing unit according to the importance of each gray value in each dividing unit, so that the encoding processing can accurately save the original information of the image to be processed, and the accuracy of printing error detection is improved.
When the coding processing is carried out on the dividing unit according to each gray value and the weight value corresponding to each gray value in the gray image, 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 scale products as a coded value of the dividing unit; the segmentation unit is encoded according to the encoding value of the segmentation unit.
For example, the encoded value of the division unit may be calculated by the following formula (1).
In formula (1), code represents a code value, hist i Represents the ith gray value, θ, in the gray image i The weight value corresponding to the ith gray value in the gray image is represented, the value of i is 0 to n, and n is a positive integer greater than 0.
For example, when encoding the partition unit according to the encoding value of the partition unit, the encoding value may be directly determined as the encoding of the partition unit, or the encoding value may be simply converted, and the converted value may be 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 values is determined as the code value of the dividing unit, so that the determined code value can accurately reflect the information of the dividing unit, and the accuracy of detecting the printing error is further improved.
According to the above embodiment, if the pixel points of the dividing unit in the horizontal and vertical directions are 4, the image to be processed is divided into a plurality of 4×4 dividing units, i.e. each dividing unit includes 16 pixel points, the first image can be regarded as 1/16 of the image to be processed; alternatively, the pixels of the dividing unit in the horizontal and vertical directions are 8 respectively, and the image to be processed is divided into a plurality of 8×8 dividing units, that is, each dividing unit contains 64 pixels, the first image can be regarded as 1/64 of the image to be processed.
S102, pyramid decomposition processing is carried out on the first image, and a target image is obtained.
When pyramid decomposition processing is carried out on the first image to obtain a target image, the number of image pyramid layers corresponding to the pyramid decomposition processing can be determined according to an 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 based on the size of the image of the print or how many pixels are. The size of the error area threshold is proportional to the size of the image of the printed matter or the number of pixels. That is, a larger error area threshold may be set for images of prints of larger size or more pixels, while a smaller error area threshold may be set for images of prints of smaller size or less pixels. Thereby ensuring that the error region can be accurately determined.
It can be understood that after the pyramid decomposition processing is performed, an image sequence corresponding to the 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 first image is subjected to pyramid decomposition, and the number of image pyramid layers corresponding to the pyramid decomposition processing is determined according to the error area threshold, so that the bottommost end of the pyramid of the first image processing value is not required, the time for pyramid decomposition of the first image is reduced, and the efficiency of printing error detection is further improved.
S103, performing differential processing on the target image and the template image, and determining a printing error area.
For example, in the embodiment of the present application, the pixel points of the template image and the target image are the same, and the template image is the image obtained by performing the operations of S101 and S102 described above 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, which can be specifically described in the above steps, which is not described in detail in the embodiment of the present application.
When the difference processing is carried out on the target image and the template image and the printing error area is determined, the registration processing can be carried out on the target image and the template image respectively to obtain a registered target image and a registered template image; and carrying out differential processing on the registered target image and the registered template image according to the differential threshold value, and determining a printing error region.
For example, the registration process may be to geometrically correct the target image and the template image, i.e., geometrically align 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 process may perform an alignment process for 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.
In the embodiment of the application, the accuracy of detecting the printing errors can be improved by carrying out registration processing on the target image and the template image and carrying out differential processing on the registered images to determine the printing error area.
When the difference processing is carried out on the registered target image and the registered template image according to the difference threshold value and the printing error area is determined, 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 of which the difference value is larger than the difference threshold value, and determining an area corresponding to the target difference value as a printing error area. For example, the magnitude of the differential threshold may be set according to practical situations, which is not limited in the embodiments of the present application.
In the embodiment of the application, by calculating the difference value 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 part where the image changes is highlighted, and the area corresponding to the part difference value with the difference value larger than the difference threshold is determined as the printing error area, so that the accuracy of the determined printing error area can be improved.
Therefore, according to the printing error detection method provided by the embodiment of the application, through encoding processing of the image to be processed, a first image with fewer pixels than the image to be processed is obtained, and the pixels of the image to be processed are reduced; and the first image is subjected to pyramid decomposition processing to obtain a target image, so that a printing error area can be rapidly determined through the target image and the template image with the same pixel points, the printing error detection efficiency is improved, and the printing error is detected in real time in the printing process.
For example, after determining the printing error region, alert information may also be output, the alert information including the location of the printing error region and the size of the printing error region. It should be understood that the embodiments of the present application are only described by taking the example that the alarm information includes the position of the printing error region and the size of the printing error region as an example, but the embodiments of the present application are not limited thereto.
For example, when the alarm information is output, the alarm information may be directly output through the printing device, and the output mode may be text, image or sound reminding. Alternatively, the alert information may be output on the terminal device of the user, for example, by way of a sms alert or an application alert, which is not limited in any way in the embodiments of the present application.
In the embodiment of the application, the user can be timely reminded of the printing error area of 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 embodiments of the present application, the following will describe the above step S102 in detail, and specifically refer to fig. 2, where fig. 2 is a schematic flow chart of a method for pyramid decomposition processing provided in the embodiments of the present application. The pyramid decomposition processing method may include:
s201, gaussian low-pass filtering processing is conducted on the first image, and a third image is obtained.
For example, when the first image is subjected to gaussian low pass filtering to obtain a 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 embodiment.
S202, performing downsampling processing on the third image to obtain a fourth image.
For example, when the convolution image is subjected to downsampling processing to obtain a fourth image, pixel points of all even rows and all even columns in the third image can be removed to obtain the fourth image, namely, the first layer of the image pyramid. It will be appreciated that the first layer 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 layer of the image pyramid is 1/128 of the image to be processed.
S203, determining the number of layers of the image pyramid corresponding to pyramid decomposition processing according to the error area threshold; and repeating the step S201 and the step S202 according to the layer number of the image pyramid to obtain a target image.
For example, determining the number of image pyramid layers corresponding to the pyramid decomposition process according to the error area threshold may be described in the above embodiment, which is not described in detail in this embodiment of the present application. The above steps S201 and S202 are repeated, that is, the above steps S201 and S202 are repeated to reduce the left key of the fourth image to 1/4 of the original one until the target image is obtained.
For example, if the number of layers of the pyramid of the image is determined to be 3, it may be determined that the target image is the 3 rd layer of the pyramid image, i.e., 1/4096 of the first image.
In this embodiment of the present application, the above operation may be performed on the second image obtained after the image processing of the template print to obtain the template image, and the process of determining the template image in this embodiment of the present application is not described in detail.
Therefore, in the pyramid decomposition processing method provided by the embodiment of the application, the first image is subjected to Gaussian low-pass filtering processing to obtain the third image; downsampling the third image to obtain a fourth image; determining the number of layers of the image pyramid corresponding to pyramid decomposition processing according to the error area threshold; and repeating the steps according to the number of layers of the image pyramid to obtain the target image. The number of the pixel points of the determined target image is small, and the printing error detection speed can be improved, so that the printing error detection efficiency is improved.
According to the above embodiment, if the first image is regarded as 1/64 of the image to be processed, 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 an image schematic diagram of a pyramid decomposition process according to an embodiment of the present application. According to fig. 3, the first image is subjected to the first pyramid decomposition processing described in the above embodiment to obtain a first layer image of the image pyramid, and is subjected to the second pyramid decomposition processing described in the above embodiment to obtain a target image.
Therefore, the technical scheme provided by the embodiment of the application can reduce the pixel points of the image to be processed to obtain the target image, and further determine the printing error area according to the target image with fewer pixel points and the template image, so that the speed of determining the printing error area is improved, the efficiency of determining the printing error area is improved, and the printing error can be detected in real time.
Fig. 4 is a schematic structural diagram of a printing error detection device 40 according to an embodiment of the present application, for example, referring to fig. 4, the printing error detection device 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 pixels of the image to be processed are more than pixels 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 for performing differential processing on the target image and the template image, and determining a printing error region.
Optionally, the processing unit 401 is specifically configured to perform segmentation processing on the image to be processed, so as 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 a first image.
Optionally, the processing unit 401 is specifically configured to perform gray distribution statistics on the gray image corresponding to each division unit, to determine a plurality of gray values in the gray image and a weight value corresponding to each gray value; and encoding the dividing unit according to each gray value and the weight value corresponding to each gray value in the gray image.
Optionally, the processing unit 401 is specifically configured to calculate a product of each gray value and a weight value corresponding to each gray value, so as to obtain a plurality of gray products; determining a sum of the plurality of gray scale products as a coded value of the dividing unit; the segmentation unit is encoded according to the encoding value of the segmentation unit.
Optionally, the processing unit 401 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 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, to obtain a registered target image and a registered template image; and carrying out differential processing on the registered target image and the registered template image according to the differential threshold value, and determining a printing error region.
Optionally, the determining process 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 of which the difference value is 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. The alarm module 403 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.
The printing error detection device provided in this embodiment of the present application may execute the technical scheme of the printing error detection method in any one of the embodiments, and the implementation principle and beneficial effects of the printing error detection device are similar to those of the printing error detection method, and may refer to the implementation principle and beneficial effects of the printing error detection method, which are not described herein.
Fig. 5 is a schematic structural diagram of another printing error detection device 50 according to an embodiment of the present application, for example, referring to fig. 5, the printing error detection device 50 may include a processor 501 and a memory 502; wherein,
the memory 502 is used for storing a computer program.
The processor 501 is configured to read the computer program stored in the memory 502, and execute the technical scheme of the printing error detection method in any one of the foregoing 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, the present embodiment further includes: a communication interface, which may be connected to the processor 501 via 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 device 50 shown in the embodiment of the present application may execute the technical scheme of the printing error detection method in any of the embodiments, and the implementation principle and beneficial effects of the printing error detection device are similar to those of the printing error detection method, and can refer to the implementation principle and beneficial effects of the printing error detection method, which are not described herein.
The embodiment of the application further provides a computer readable storage medium, in which computer executing instructions are stored, when a processor executes the computer executing instructions, the technical scheme of the printing error detection method in any of the above embodiments is implemented, and the implementation principle and the beneficial effects are similar to those of the printing error detection method, and can be seen, and the detailed description is omitted herein.
The embodiment of the application also provides a computer program product, which comprises a computer program, when the computer program is executed by a processor, the technical scheme of the printing error detection method in any of the embodiments is realized, the implementation principle and the beneficial effects are similar to those of the printing error detection method, and the implementation principle and the beneficial effects of the printing error detection method can be seen, and the detailed description is omitted herein.
In the several embodiments provided in this application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of the units is merely a logical function division, and there may be additional divisions when actually implemented, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection illustrated or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment. In addition, each functional unit in each embodiment of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in hardware plus software functional units.
The integrated modules, which are implemented in the form of software functional modules, may be stored in a computer readable storage medium. The software functional module 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, etc.) or a processor (english: processor) to perform some steps of the methods of the embodiments of the present application.
It should be understood that the above processor may be a central processing unit (english: central Processing Unit, abbreviated as CPU), or may be other general purpose processors, digital signal processors (english: digital Signal Processor, abbreviated as DSP), application specific integrated circuits (english: application Specific Integrated Circuit, abbreviated as ASIC), or the like. 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 for execution, or in a combination of hardware and software modules in a processor for execution.
The memory may comprise a high-speed RAM memory, and may further comprise a non-volatile memory NVM, such as at least one magnetic disk memory, and may also be a U-disk, a removable hard disk, a read-only memory, a magnetic disk or optical disk, etc.
The bus may be an industry standard architecture (Industry Standard Architecture, ISA) bus, an external device interconnect (Peripheral Component, PCI) bus, or an extended industry standard architecture (Extended Industry Standard Architecture, EISA) bus, among others. The buses may be divided into address buses, data buses, control buses, etc. For ease of illustration, the buses in the drawings of the present application are not limited to only one bus or one type of bus.
The computer-readable storage medium described above 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 disk. 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 for illustrating the technical solution 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 scheme described in the foregoing embodiments can be modified or some or all of the technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit of the corresponding technical solutions from the scope of the technical solutions of the embodiments of the present application.
Claims (8)
1. A method for detecting a printing error, comprising:
encoding an image to be processed to obtain a first image, wherein the image to be processed is an image of a printed matter, and the pixel points of the image to be processed are more than those of the first image;
Pyramid decomposition processing is carried out on the first image, so that a target image is obtained;
performing differential processing on the target image and a template image to determine a printing error area, wherein the template image is the same as the pixel point of the target image;
the encoding processing is carried out on the image to be processed to obtain a first image, which comprises the following steps:
dividing the image to be processed to obtain a plurality of dividing units;
respectively carrying out coding processing on each of the plurality of segmentation units, and combining the coded segmentation units to obtain the first image;
the encoding processing for each of the plurality of divided units includes:
carrying out gray distribution statistics on gray images corresponding to each dividing unit aiming at each dividing unit, and determining a plurality of gray values and weight values corresponding to each gray value in the gray images;
calculating the product of each gray value and the weight value corresponding to each gray value to obtain a plurality of gray products;
determining a sum of the plurality of gray scale products as a coded value of the segmentation unit;
encoding the dividing unit according to the encoding value of the dividing unit;
The pyramid decomposition processing is performed on the first image to obtain a target image, including:
determining the number of layers of the image pyramid 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.
2. The method of claim 1, wherein the differentiating the target image and the template image to determine a printing error region comprises:
registering the target image and the template image respectively to obtain a registered target image and a registered template image;
and carrying out differential processing on the registered target image and the registered template image according to a differential threshold value, and determining a printing error region.
3. The method of claim 2, wherein the differentiating the registered target image and the registered template image according to the difference threshold value to determine a printing error region comprises:
calculating a difference value 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, wherein the difference value is larger than the difference threshold value, and determining an area corresponding to the target difference value as a printing error area.
4. A method according to claim 3, wherein after said determining the printing error region, 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.
5. A printing error detection apparatus, comprising:
the processing unit is used for carrying out coding processing on an image to be processed to obtain a first image, wherein the image to be processed is an image of a printed matter, and the pixel points of the image to be processed are more than those of the first image;
the processing unit is further used for carrying out pyramid decomposition processing on the first image to obtain a target image;
the determining unit is used for carrying out differential processing on the target image and the template image and determining a printing error area;
the processing unit is specifically used for carrying out segmentation processing on the image to be processed to obtain a plurality of segmentation units; respectively carrying out coding processing on each of the plurality of segmentation units, and combining the coded segmentation units to obtain the first image;
the processing unit is specifically configured to perform gray distribution statistics on the gray image corresponding to each dividing unit, and determine a plurality of gray values in the gray image and a weight value corresponding to each gray value;
The processing unit is specifically configured to calculate a product of each gray value and a weight value corresponding to each gray value, so as to obtain a plurality of gray products; determining a sum of the plurality of gray scale products as a coded value of the segmentation unit; encoding the dividing unit according to the encoding value of the dividing unit;
the processing unit is specifically used for determining the number of layers of the image pyramid 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 printing error detection device is characterized by comprising a memory and a processor; wherein,
the memory is used for storing a computer program;
the processor is configured to read the computer program stored in the memory, and execute a method for detecting a printing error according to any one of claims 1 to 4 according to the computer program stored in the memory.
7. A computer readable storage medium having stored therein computer executable instructions which, when executed by a processor, implement a method of detecting printing errors as claimed in any one of claims 1 to 4.
8. A computer program product comprising a computer program which, when executed by a processor, implements a method of detecting a printing error as claimed in any one of claims 1 to 4.
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