WO2018223514A1 - Printing evaluation method, terminal device and computer-readable storage medium - Google Patents

Abstract

A printing evaluation method, a terminal device and a computer-readable storage medium, which relate to the technical field of POS machine printing. The method comprises: extracting pixel data of a pattern to be determined (101); processing the pixel data to obtain a contrast value, a uniformity value and a blooming value of the pattern to be determined (102); and determining a printing effect by synthesizing the contrast value, the uniformity value and the blooming value of the pattern to be determined (103). The method provides an approach to comprehensively determine the printing effect of a POS machine from an objective dimension, and a corresponding method can also be used to solve a POS machine printing problem reflected from different dimensions.

Description

Method for printing evaluation, terminal device and computer readable storage medium Technical field

The invention belongs to the technical field of POS printing, and particularly relates to a method for printing evaluation, a terminal device and a computer readable storage medium.

Background technique

The printers currently used by POS (Point Of Sales) machines are thermal printers. The thermal printer works by mounting a semiconductor heating element on the printhead that prints the desired pattern after the printhead is heated and touches the thermal paper. At present, there is no objective evaluation method for the sample data printed by the POS machine, and most of them only subjectively determine the printing effect. And the difference in the criteria for judging the same print pattern is not enough to determine the true print effect.

The above problems need to be resolved.

Summary of the invention

The present invention provides a method for printing evaluation, a terminal device, and a computer readable storage medium, in view of the fact that there is a difference in the evaluation criteria for the same printed pattern, which is insufficient to determine the true printing effect.

A first aspect of the embodiments of the present invention provides a method for printing evaluation, including:

Extracting pixel data of the pattern to be determined;

Processing the pixel data to obtain a contrast value, a uniformity value, and a blooming value of the pattern to be determined;

The contrast value, the uniformity value, and the blooming value of the pattern to be determined are integrated to determine the printing effect.

Further, before the pixel data of the to-be-determined pattern is extracted, the method further includes:

Scanning the printed paper to obtain an electronic pattern;

The electronic pattern is intercepted to obtain a pattern to be determined.

Further, processing the pixel data to obtain a contrast value of the pattern to be determined includes:

Determining the degree of discrimination between the content of the pattern to be determined and the background;

If the background of the pattern to be determined is a grayscale background, method 1 is used to obtain a contrast value; if the background of the pattern to be determined is a white background, method 2 is used to obtain a contrast value, wherein

The first method is: calculating the sum of the squares of the difference between the central pixel value and the surrounding four adjacent pixel values according to the formula, multiplying the pixel distribution probability of the gray difference, and calculating the result C as the contrast value of the to-be-determined pattern, the formula is as follows:

δ(i,j)=|ij| is the gradation difference between adjacent pixels, and P _δ (i, j) is the pixel distribution probability that the gradation difference between adjacent pixels is δ;

The second method is: calculating a variance of a content pixel of the to-be-determined pattern and 255, and the variance is used as a contrast value of the to-be-determined pattern.

Further, processing the pixel data to obtain a uniformity value of the pattern to be determined includes:

Get the mean of the image pixels;

The variance of the image pixel and the mean is obtained, and the variance is used as the uniformity value of the pattern to be determined.

Further, processing the pixel data to obtain the blooming value of the pattern to be determined includes:

Divide the image into at least four equal parts from top to bottom;

The ratio of the background pixels of the corresponding position of the last aliquot to the first aliquot is calculated, and the ratio of the background pixels is taken as the blooming value of the pattern to be determined.

A second aspect of the embodiments of the present invention provides an apparatus for printing evaluation, including:

An extraction module, configured to extract pixel data of the pattern to be determined;

a processing module, configured to process the pixel data to obtain a contrast value, a uniformity value, and a blooming value of the pattern to be determined;

The determination module is configured to integrate the contrast value, the uniformity value, and the blooming value of the pattern to be determined, and determine the printing effect.

Further, the processing module includes:

a determining unit, configured to determine a degree of discrimination between the content of the to-be-determined pattern and the background;

If the background of the pattern to be determined is a grayscale background, method 1 is used to obtain a contrast value; if the background of the pattern to be determined is a white background, method 2 is used to obtain a contrast value, wherein

The first method is: calculating the sum of the squares of the difference between the central pixel value and the surrounding four adjacent pixel values according to the formula, multiplying the pixel distribution probability of the gray difference, and calculating the result C as the contrast value of the to-be-determined pattern, the formula is as follows:

δ(i,j)=|ij| is the gradation difference between adjacent pixels, and P _δ (i, j) is the pixel distribution probability that the gradation difference between adjacent pixels is δ;

The second method is: calculating a variance of a content pixel of the to-be-determined pattern and 255, and the variance is used as a contrast value of the to-be-determined pattern.

Further, the processing module further includes:

An aliquot unit for dividing an image into at least four equal parts from top to bottom;

The calculating unit is configured to calculate a ratio of the background pixels of the last aliquot to the corresponding position of the first aliquot, and use the ratio of the background pixels as the blooming value of the pattern to be determined.

A third aspect of the embodiments of the present invention provides a terminal device for print evaluation, comprising a memory, a processor, and a computer program stored in the memory and operable on the processor, the processor performing the following steps when executing the computer program:

Extracting pixel data of the pattern to be determined;

Processing the pixel data to obtain a contrast value, a uniformity value, and a blooming value of the pattern to be determined;

The contrast value, the uniformity value, and the blooming value of the pattern to be determined are integrated to determine the printing effect.

A fourth aspect of the embodiments of the present invention provides a computer readable storage medium for print evaluation. The computer readable storage medium stores a computer program, and when the computer program is executed by the processor, the following steps are implemented:

Extracting pixel data of the pattern to be determined;

Processing the pixel data to obtain a contrast value, a uniformity value, and a blooming value of the pattern to be determined;

The contrast value, the uniformity value, and the blooming value of the pattern to be determined are integrated to determine the printing effect.

Compared with the prior art, the present invention has the beneficial effects that the three dimensions of the to-be-determined pattern include the contrast value, the uniformity value, and the blooming value. On the one hand, the comprehensive POS is determined from the objective dimension. The way of printing the effect of the machine avoids the conclusion that the subjective judgment of the printing effect is not necessarily true; on the other hand, the POS machine printing problem reflected from different dimensions can be adopted, and the corresponding solution is adopted; Since the printing effect of the POS machine can be objectively determined, the user does not need to repeatedly test and judge the printing effect, thereby saving the cost of the hardware device for purchasing the test printing effect.

DRAWINGS

In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings used in the embodiments or the description of the prior art will be briefly described below. It is obvious that the drawings in the following description are only the present invention. For some embodiments, other drawings may be obtained from those of ordinary skill in the art in light of the inventive workability.

1 is a schematic flowchart showing an implementation of a method for print evaluation provided by an embodiment of the present invention;

2 is a schematic flow chart showing an implementation of a method for calculating a contrast in a pattern in the embodiment provided in FIG. 1;

3 is a schematic flow chart showing an implementation of a method for calculating uniformity of a pattern in the embodiment provided in FIG. 1;

Figure 4 is a diagram of a method for evaluating a blooming evaluation in the embodiment provided in Figure 1;

FIG. 5 is a schematic diagram showing an implementation flow of a method for calculating a blooming degree in a pattern provided in FIG. 1; FIG.

Figure 6 (a) is a series of a series of examples A for calculating contrast by two contrast methods in the embodiment provided in Figure 1;

Figure 6 (b) is a series of sample B for the calculation of contrast by the two contrast methods in the embodiment provided in Figure 1;

Figure 6 (c) is a sample series C of the sample for calculating the uniformity of the sample in the embodiment provided in Figure 1;

Figure 6 (d) is a series of sample diagram D for calculating the degree of blooming of the sample in the embodiment provided in Figure 1;

7 is a schematic diagram of an apparatus for print evaluation provided by an embodiment of the present invention;

FIG. 8 is a schematic diagram of a terminal device for print evaluation according to an embodiment of the present invention.

detailed description

In the following description, for purposes of illustration and description However, it will be apparent to those skilled in the art that the present invention may be practiced in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the invention.

In order to explain the technical solution of the present invention, the following description will be made by way of specific embodiments.

1 is a schematic flowchart of an implementation of a method for print evaluation according to an embodiment of the present invention; as shown in FIG. 1 , the execution subject of the embodiment is a device for print evaluation, and the method for print evaluation provided by the embodiment may include:

101. Extract pixel data of a pattern to be determined;

Specifically, there are various image processing tools for extracting patterns on the market, and the embodiment uses the mathematical software MATLAB for extraction. MATLAB is a high-tech computing environment developed by mathworks of the United States that focuses on scientific computing, visualization, and interactive programming. MATLAB can perform matrix operations, draw functions and data, implement algorithms, create user interfaces, and connect programs in other programming languages. It is mainly used in engineering calculation, control design, signal processing and communication, image processing, signal detection, and financial modeling design. And other areas such as analysis. Pixel refers to the basic encoding of the basic pigment and its gradation. It is the basic unit that constitutes a digital image. It usually represents the resolution of the image in units of PPI (pixels per inch). For example, 300x300PPI resolution means that the number of pixels per inch in the horizontal and vertical directions is 300, or it can be expressed as 90,000 (300x300) pixels in one square inch. Further, before extracting the pixels of the pattern, the electronic pattern of the pattern is scanned by scanning the pattern; the electronic pattern is intercepted to obtain the pattern to be determined and saved for use.

102. Processing pixel data to obtain a contrast value, a uniformity value, and a blooming value of the pattern to be determined;

Specifically, the contrast ratio, that is, the black-and-white ratio, refers to the measurement of different brightness levels between the brightest white and the darkest black in the dark and dark areas of an image. The larger the difference range, the larger the contrast, and the smaller the difference range is. The smaller. Uniformity refers to the difference between the brightest and darkest parts of the image. The higher the uniformity, the higher the consistency of the image content. When the uniformity is lower, the consistency of the image content is lower. The degree of blooming refers to the ghosting of the color. Generally, the closer to the bottom of the pattern, the more serious the blooming. The lower the smudge value, the better the smudge of the printed pattern.

Further, when processing the contrast value of the pixel data determination pattern, first determining the discrimination between the content of the pattern to be determined and the background; if the background of the pattern to be determined is a gray background, the method 1 is used to obtain the contrast value; if the background of the pattern to be determined is determined For a white background, method 2 is used to obtain the contrast value, wherein

The first method is: calculating the sum of the squares of the difference between the central pixel value and the surrounding four adjacent pixel values according to the formula, multiplying the pixel distribution probability of the gray difference, and calculating the result C as the contrast value of the to-be-determined pattern, the formula is as follows:

δ(i,j)=|ij| is the gradation difference between adjacent pixels, and P _δ (i, j) is the pixel distribution probability that the gradation difference between adjacent pixels is δ;

The second method is as follows: as shown in the flow diagram of calculating the contrast of the pattern as shown in FIG. 2, the variance of the content pixel of the image to be determined and the variance of 255 is calculated, and the variance is used as the contrast value of the pattern to be determined, and the specific steps are as follows: (1) Get the background pixel value; (2) Get the content pixel value matrix; (3) Find the 2-step transition probability matrix and 255 variance. Wherein, each element of the matrix in the transition probability matrix is non-negative, and the sum of the elements of each row is equal to 1. Each element is represented by a probability, and is transferred to each other under certain conditions, so it is called a transition probability matrix. The two-step transition probability matrix is exactly the square of the one-step transition probability matrix. In general, the k-step transition probability matrix is exactly the k-th power of the one-step transition probability matrix.

It is determined that the uniformity of the pattern is based on the idea that the pixel in the image is smaller and more uniform with the true mean value difference, and a value close to the true mean is obtained as the mean value, and then the variance is obtained as the uniformity value of the pattern to be determined. The larger the variance, the worse the uniformity, and the more uniform the opposite. As shown in the flow diagram of calculating the uniformity of the pattern as shown in FIG. 3, the steps specifically included in calculating the uniformity of the pattern include:

1) Average value

(1) Dividing the image, finding the variance of each block, and sorting to obtain matrix A;

(2) Find the column in which the matrix A is located, and record it as B;

(3) Find the s places with the largest change in the image, and record whether the column C and the left side of the column mark are black or the matrix D on the right side is black;

(4) Analysis B, if it is equal to the value in C or the left or right black column, the modified value is 0;

(5) Find the mean value of the first k non-zero column blocks in B;

(6) Get the mean.

2) Find the variance

By observing the picture for testing the degree of blooming as shown in Fig. 4, the law can be obtained, and the blooming condition is generated. Most of the cases are more serious, and the image can be divided into at least four equal parts. Four equal parts. Calculate the pattern as shown in Figure 3. The flow chart of uniformity shows that the ratio of the fourth aliquot to the background pixel of the first aliquot, that is, the ratio of the number of white pixels, is obtained from the bottom up, and the smaller the ratio, the better, otherwise the worse. The steps specifically included in calculating the pattern uniformity include:

1) Get the background pixel value;

(1) Obtain an image img and find an average value M;

(2) Finding that each aliquot (img-M)*10 is greater than 0 or less than 0, if greater than 0, the column should be white, otherwise it is black, and the matrix B is obtained;

(3) Find the number of pixels in which matrix B is white, denoted as Num;

2) Obtain the number of background pixels of the first equal part and the fourth equal part, and use the ratio of the background pixels as the blooming value of the pattern to be determined.

103. Synthesize the contrast value, the uniformity value, and the blooming value of the pattern to be determined, and determine the printing effect.

Specifically, as shown in FIG. 6(a), a series of graphs A for testing contrast, and a series of graphs B for testing contrast as shown in FIG. 6(c), the test results are as follows:

Test results for the sample series A:

model	Mean	Contrast method (2)	Contrast method (1)
D210	74	9279.867	1.9446e+3
D820	84	3890.6715	841.1354
Q80	61	15006.4117	2.1239e+3
S500	82	5640.2941	1.2358e+3
S58	51	24575.2891	2.7972e+3
S80	81	4276.7256	862.9423
S90	76	9233.7013	1.9501e+3
S800M	89	1798.1637	318.1914
S800P	80	6403.9163	1.4601e+3
S900M	88	2267.2747	447.7294
S900P	77	7844.9908	1.7131e+3
S910	61	17341.0518	2.8508e+3

The contrast method (2) evaluation results are as follows:

S58<S910<Q80<D210<S90<S900p<S800p<S500<S80<D820<S900M<S800M

The contrast method (1) evaluation results are as follows:

S910<S58<Q80<S90<D210<S900P<S800P<S500<S80<D820<S900M<S800M

Test results for the sample series B

model	Mean	Contrast method (2)	Contrast method (1)
Q80	31	11604.296	1.156004349264674e+03
S500	35	12228.1618	1.424356339354240e+03
S58	35	13276.6842	1.404159512915325e+03

S80	36	12118.2428	1.352621141645200e+03
S800P	34	6897.7457	8.137334396357295e+02
S900M	36	10406.0663	1.254064446704026e+03
S900P	33	7784.3428	8.964782746649744e+02
S910	33	14016.6282	1.564389753972771e+03
S60	33	14320.5291	1.621295644743565e+03
A920	34	10846.5772	1.176425150083025e+03

The evaluation results of the sample B contrast method (2) are as follows:

S60<S910<S58<S500<s80<Q80<A920<S900M<S900P<S800P

The contrast method (1) evaluation results are as follows:

S60<S910<S500<S58<S80<S900M<A920<Q80<S900P<S800P

As shown in Figure 6(c), the series of graphs C for testing uniformity, the test results are as follows:

model	Mean
D210	581.8413
Q80	186.5913
S500	106.3839
S58	201.652
S80	136.1141
S90	167.4571
S800M	70.9756
S800P	160.8222
S900M	38.2234
S900P	127.1462
S910	14.5184
A920C	767.2058
S920	26.1967
A920	84.5153
S60	342.1596

The results of the uniformity evaluation of the sample series C are as follows:

S910<S920<S900M<S800M<A920<S500<S900P<S80<S800P<S90<Q80<S58<S60<D210<A920C

As shown in Figure 6(d), the series of graphs D for testing uniformity, the test results are as follows:

model	Mean
D210	0.3284
D820	0.79429
Q80	0.88149
S500	0.43438
S58	0.30108
S80	0.4421

S90	0.82082
S800M	0.61486
S800P	0.3769
S900M	0.85223
S900P	0.84931
S910	0.45544
A920C	0.78988
S920	0.86217
A920	0.36435
S60	0.55838

The evaluation results of the sample of the sample series D are as follows:

Q80<S920<S900M<S900P<S90<D820<A920C<S800M<S60<S910<S80<S500<S800P<A920<D210<S58

By evaluating the proofs in terms of contrast, uniformity, and smear, you can analyze the proofs comprehensively, not just relying on the naked eye to evaluate the conclusions unilaterally. And can improve the printing process of the POS machine from the evaluation results.

It should be understood that the size of the sequence of the steps in the above embodiments does not imply a sequence of executions, and the order of execution of the processes should be determined by its function and internal logic, and should not be construed as limiting the implementation of the embodiments of the present invention.

It can be seen from the method provided in the above embodiment that the three dimensions of the pattern to be determined include the contrast value, the uniformity value, and the blooming value. On the one hand, the objective is to comprehensively determine the printing effect of the POS machine from the objective dimension. The way to avoid people's conclusion that the printing effect is not necessarily true through subjective judgment; on the other hand, the POS machine printing problem reflected from different dimensions can be adopted, and the corresponding solution is adopted; in the third aspect, since the POS can be objectively determined The printing effect of the machine eliminates the need for the user to repeatedly test and judge the printing effect, thereby saving the cost of the hardware device for purchasing the test printing effect.

FIG. 7 is a schematic diagram of an apparatus for performing print evaluation according to an embodiment of the present invention; as shown in FIG. 7, the execution subject of the embodiment is a device for print evaluation, and the apparatus for print evaluation provided by the embodiment may include:

The extracting module 71 is configured to extract pixel data of the pattern to be determined;

The processing module 72 is configured to process the pixel data to obtain a contrast value, a uniformity value, and a blooming value of the pattern to be determined;

The determining module 73 is configured to integrate the contrast value, the uniformity value, and the blooming value of the pattern to be determined, and determine the printing effect.

It should be noted that, the modules in the foregoing system provided by the embodiments of the present invention are based on the same concept as the method embodiment of the present invention, and the technical effects thereof are the same as the method embodiments of the present invention. For details, refer to the method implementation of the present invention. The description in the example will not be repeated here.

It can also be seen from the apparatus provided in the above embodiment that the three dimensions of the pattern to be determined include the contrast value, the uniformity value, and the blooming value. On the one hand, the printing effect of the POS machine is comprehensively determined from the objective dimension. The way to avoid people from the subjective judgment of the printing effect is not necessarily true conclusion; on the other hand, it can also reflect the POS machine printing problems from different dimensions, and take corresponding solutions; the third aspect, because it can be objectively determined The printing effect of the POS machine eliminates the need for the user to repeatedly test and judge the printing effect, thereby saving the cost of the hardware device for purchasing the test printing effect.

FIG. 8 is a schematic diagram of a terminal device for print evaluation according to an embodiment of the present invention. As shown in FIG. 8, the terminal device 8 for print evaluation of this embodiment includes a processor 80, a memory 81, and a computer program 82 stored in the memory 81 and operable on the processor 80, for example, for implementing print evaluation. Method of computer program. The processor 80 executes the computer program 82 to implement the steps in the method embodiments of the various print evaluations described above, such as steps 101 through 103 shown in FIG. Alternatively, when the processor 80 executes the computer program 82, the functions of the modules/units in the above-described respective device embodiments are implemented, such as the functions of the modules 71 to 73 shown in FIG.

The present invention provides a computer program 82 for implementing a method for printing evaluation, comprising: extracting pixel data of a pattern to be determined; processing the pixel data to obtain a contrast value, a uniformity value, and a blooming value of the pattern to be determined; The contrast value, the uniformity value, and the blooming value of the determination pattern are described, and the printing effect is determined. Computer program 82 may be partitioned into one or more modules/units, one or more modules/units being stored in memory 81 and executed by processor 80 to complete the present invention. The one or more modules/units may be a series of computer program instruction segments capable of performing a particular function for describing the execution of computer program 82 in print evaluation terminal device 8. For example, the computer program 82 can be divided into a synchronization module, a summary module, an acquisition module, and a return module (modules in a virtual device), and the specific functions of each module are as follows:

The terminal device 8 for print evaluation may be a computing device such as a desktop computer, a notebook, a palmtop computer, and a cloud server. The terminal device that prints the evaluation may include, but is not limited to, the processor 80 and the memory 81. It will be understood by those skilled in the art that FIG. 6 is merely an example of the terminal device 8 for print evaluation, does not constitute a limitation of the terminal device 8 for print evaluation, may include more or less components than those illustrated, or may combine some The components, or different components, such as the printed evaluation terminal device 8, may also include input and output devices, network access devices, buses, and the like.

The processor 80 can be a central processing unit (CPU), and can also be other general-purpose processors, digital signal processors (DSPs), and application specific integrated circuits. (Application Specific Integrated Circuit, ASIC), Field-Programmable Gate Array (FPGA) or other programmable logic device, discrete gate or transistor logic device, discrete hardware component, etc. The general purpose processor may be a microprocessor or the processor or any conventional processor or the like.

The memory 81 may be an internal storage unit of the terminal device 8 for print evaluation, for example, a hard disk or a memory of the terminal device 8 for printing evaluation. The memory 81 may also be an external storage device of the terminal device 8 for print evaluation, such as a plug-in hard disk provided on the terminal device 8 for print evaluation, a smart memory card (SMC), and a secure digital (Secure Digital, SD). Card, flash card, etc. Further, the memory 81 may also include both an internal storage unit of the terminal device 8 for print evaluation and an external storage device. The memory 81 is used to store computer programs and other programs and data required for printing the evaluated terminal device 8. The memory 81 can also be used to temporarily store data that has been output or is about to be output.

It will be apparent to those skilled in the art that, for convenience and brevity of description, only the division of each functional unit and module described above is exemplified. In practical applications, the above functions may be assigned to different functional units as needed. The module is completed, dividing the internal structure of the device into different functional units or modules to perform all or part of the functions described above. Each functional unit and module in the embodiment may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit, and the integrated unit may be hardware. Formal implementation can also be implemented in the form of software functional units. In addition, the specific names of the respective functional units and modules are only for the purpose of facilitating mutual differentiation, and are not intended to limit the scope of protection of the present application. For the specific working process of the unit and the module in the foregoing system, reference may be made to the corresponding process in the foregoing method embodiment, and details are not described herein again.

In the above embodiments, the descriptions of the various embodiments are different, and the parts that are not detailed or described in a certain embodiment can be referred to the related descriptions of other embodiments.

Those of ordinary skill in the art will appreciate that the elements and algorithm steps of the various examples described in connection with the embodiments disclosed herein can be implemented in electronic hardware or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the solution. A person skilled in the art can use different methods for implementing the described functions for each particular application, but such implementation should not be considered to be beyond the scope of the present invention.

In the embodiments provided by the present invention, it should be understood that the disclosed apparatus/terminal device and method may be implemented in other manners. For example, the device/terminal device embodiments described above are merely illustrative, for example, the division of modules or units is only one logical function division, and may be further divided in actual implementation, such as multiple units or components. It can be combined or integrated into another system, or some features can be ignored or not executed. another point, The mutual coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection through some interface, device or unit, and may be in electrical, mechanical or other form.

The units described as separate components may or may not be physically separate, and the components displayed as units may or may not be physical units, that is, may be located in one place, or may be distributed to multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above integrated unit can be implemented in the form of hardware or in the form of a software functional unit.

An integrated module/unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, can be stored in a computer readable storage medium. Based on such understanding, the present invention implements all or part of the processes in the above embodiments, and can also be completed by a computer program to instruct related hardware. The computer program can be stored in a computer readable storage medium. The steps of the various method embodiments described above may be implemented when executed by a processor. The computer program includes computer program code, and the computer program code may be in the form of source code, object code form, executable file or some intermediate form. The computer readable medium may include any entity or device capable of carrying computer program code, a recording medium, a USB flash drive, a removable hard disk, a magnetic disk, an optical disk, a computer memory, a Read-Only Memory (ROM), a random access device. Memory (RAM, Random Access Memory), electrical carrier signals, telecommunications signals, and software distribution media. It should be noted that the content contained in the computer readable medium may be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction, for example, in some jurisdictions, according to legislation and patent practice, computer readable media does not include Electrical carrier signal and telecommunication signal.

The above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to be limiting; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that The technical solutions are modified, or some of the technical features are replaced by equivalents; and these modifications or substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention, and should be included in the present invention. Within the scope of protection.

Claims (10)

1. A method for printing evaluation, comprising:

   Extracting pixel data of the pattern to be determined;

   Processing the pixel data to obtain a contrast value, a uniformity value, and a blooming value of the to-be-determined pattern;

   The contrast value, the uniformity value, and the blooming value of the pattern to be determined are integrated, and the printing effect is determined.
2. The method of claim 1 as claimed in claim 1, wherein the method further comprises: before the extracting the pixel data of the pattern to be determined;

   Scanning the printed paper to obtain an electronic pattern;

   The electronic pattern is intercepted to obtain the pattern to be determined.
3. The method of claim 1, wherein the processing the pixel data to obtain the contrast value of the pattern to be determined comprises:

   Determining the degree of discrimination between the content of the to-be-determined pattern and the background;

   If the background of the to-be-determined pattern is a grayscale background, the method 1 is used to obtain a contrast value; if the background of the to-be-determined pattern is a white background, the method 2 is used to obtain a contrast value, where

   The first method is: calculating a sum of squares of the difference between the central pixel value and the surrounding four adjacent pixel values according to the formula, multiplying the pixel distribution probability of the gray difference, and calculating the result C as the contrast value of the to-be-determined pattern, The formula is as follows:

   

   δ(i,j)=|ij| is the gradation difference between adjacent pixels, and P _δ (i, j) is the pixel distribution probability that the gradation difference between adjacent pixels is δ;

   The method 2 is: calculating a variance of the content pixel of the to-be-determined pattern and 255, and the variance is used as a contrast value of the to-be-determined pattern.
4. The method of printing evaluation according to claim 1, wherein the processing the pixel data to obtain the uniformity value of the pattern to be determined comprises:

   Get the mean of the image pixels;

   Obtaining a variance of the image pixel and the mean, the variance being a uniformity value of the pattern to be determined.
5. The method of claim 1, wherein the processing the pixel data to obtain the blooming value of the pattern to be determined comprises:

   Divide the image into at least four equal parts from top to bottom;

   Calculating a ratio of a background pixel of a corresponding position of the last aliquot to the first aliquot, and using a ratio of the background pixels as a blooming value of the pattern to be determined.
6. A device for printing evaluation, comprising:

   An extraction module, configured to extract pixel data of the pattern to be determined;

   a processing module, configured to process the pixel data to obtain a contrast value, a uniformity value, and a blooming value of the to-be-determined pattern;

   The determining module is configured to integrate the contrast value, the uniformity value, and the blooming value of the to-be-determined pattern to determine a printing effect.
7. The apparatus for print evaluation according to claim 6, wherein the processing module comprises:

   a determining unit, configured to determine a degree of discrimination between the content of the to-be-determined pattern and the background;

   If the background of the to-be-determined pattern is a grayscale background, the method 1 is used to obtain a contrast value; if the background of the to-be-determined pattern is a white background, the method 2 is used to obtain a contrast value, where

   The first method is: calculating a sum of squares of the difference between the central pixel value and the surrounding four adjacent pixel values according to the formula, multiplying the pixel distribution probability of the gray difference, and calculating the result C as the contrast value of the to-be-determined pattern, The formula is as follows:

   

   δ(i,j)=|ij| is the gradation difference between adjacent pixels, and P _δ (i, j) is the pixel distribution probability that the gradation difference between adjacent pixels is δ;

   The method 2 is: calculating a variance of the content pixel of the to-be-determined pattern and 255, and the variance is used as a contrast value of the to-be-determined pattern.
8. The apparatus for print evaluation according to claim 6, wherein the processing module further comprises:

   An aliquot unit for dividing an image into at least four equal parts from top to bottom;

   And a calculating unit, configured to calculate a ratio of the background pixels of the last aliquot to the corresponding position of the first aliquot, and use the ratio of the background pixels as the blooming value of the to-be-determined pattern.
9. A terminal device for printing evaluation, comprising a memory, a processor, and a computer program stored in the memory and operable on the processor, wherein the processor implements the right when executing the computer program The steps of the method of any of 1 to 5 are claimed.
10. A computer readable storage medium for printing evaluation, the computer readable storage medium storing a computer program, wherein the computer program is executed by a processor to implement the method of any one of claims 1 to 5. step.

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