CN110794599B - Color cast detection method, electronic equipment and computer readable storage medium - Google Patents
Color cast detection method, electronic equipment and computer readable storage medium Download PDFInfo
- Publication number
- CN110794599B CN110794599B CN201911011033.5A CN201911011033A CN110794599B CN 110794599 B CN110794599 B CN 110794599B CN 201911011033 A CN201911011033 A CN 201911011033A CN 110794599 B CN110794599 B CN 110794599B
- Authority
- CN
- China
- Prior art keywords
- preset
- preset number
- gray
- display screen
- image
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- G—PHYSICS
- G02—OPTICS
- G02F—OPTICAL DEVICES OR ARRANGEMENTS FOR THE CONTROL OF LIGHT BY MODIFICATION OF THE OPTICAL PROPERTIES OF THE MEDIA OF THE ELEMENTS INVOLVED THEREIN; NON-LINEAR OPTICS; FREQUENCY-CHANGING OF LIGHT; OPTICAL LOGIC ELEMENTS; OPTICAL ANALOGUE/DIGITAL CONVERTERS
- G02F1/00—Devices or arrangements for the control of the intensity, colour, phase, polarisation or direction of light arriving from an independent light source, e.g. switching, gating or modulating; Non-linear optics
- G02F1/01—Devices or arrangements for the control of the intensity, colour, phase, polarisation or direction of light arriving from an independent light source, e.g. switching, gating or modulating; Non-linear optics for the control of the intensity, phase, polarisation or colour
- G02F1/13—Devices or arrangements for the control of the intensity, colour, phase, polarisation or direction of light arriving from an independent light source, e.g. switching, gating or modulating; Non-linear optics for the control of the intensity, phase, polarisation or colour based on liquid crystals, e.g. single liquid crystal display cells
- G02F1/1306—Details
- G02F1/1309—Repairing; Testing
Landscapes
- Physics & Mathematics (AREA)
- Nonlinear Science (AREA)
- Chemical & Material Sciences (AREA)
- Crystallography & Structural Chemistry (AREA)
- General Physics & Mathematics (AREA)
- Optics & Photonics (AREA)
- Testing Of Optical Devices Or Fibers (AREA)
Abstract
The embodiment of the invention discloses a color cast detection method, which comprises the following steps: detecting the current position of a display screen to be detected; if the current position of the display screen to be detected is a preset photographing position, controlling the display screen to be detected to display a preset image; controlling a preset black-and-white camera to shoot a display area of the display screen to be detected, which displays a preset image, so as to obtain a gray image corresponding to the display screen to be detected; analyzing the gray value of the gray image to obtain a target analysis result; and if the target analysis result meets a preset threshold condition, determining that the color cast of the display screen to be detected is qualified. The embodiment of the invention also provides the electronic equipment and a computer readable storage medium.
Description
Technical Field
The present invention relates to the field of computer technologies, and in particular, to a color shift detection method, an electronic device, and a computer-readable storage medium.
Background
With the rapid development of science and technology, display screens are widely applied. In the existing Display screen application, as the technology of Liquid Crystal Display (LCD) is more and more mature, the LCD is more and more widely applied. The LCD may be any display screen for displaying information, such as a computer display screen, a television display screen, an intelligent mobile terminal display screen, etc. However, the LCD is produced in a large scale in an industrial production, and a defect of color cast of the LCD is easily caused, that is, when the LCD displays a picture in an application process, a color cast of the displayed picture is caused to be deviated, for example, when a pure green picture is displayed, a picture seen by a user is a light green picture, and thus, color cast detection of a display screen needs to be performed when the LCD leaves a factory. In the prior art, a method for detecting LCD color shift is to use a color camera to detect the LCD color shift, that is, to use the color camera to shoot a standard color picture template displayed by an LCD, then identify pixels of the shot picture to obtain pixel values of the shot picture, and then compare the pixel values with the pixel values of the standard color picture.
However, for example, in the prior art, only a color camera can be used to detect the color shift of the LCD, which results in a single detection method for detecting the color shift of the display screen.
Disclosure of Invention
In order to solve the above technical problems, embodiments of the present invention desirably provide a color cast detection method, an electronic device, and a computer-readable storage medium, so as to solve the problem of a single display screen color cast detection mode in the prior art, implement color cast detection of a display screen by using a black-and-white camera, enrich detection modes of color cast detection of a display screen, and reduce cost of color cast detection of a display screen.
The technical scheme of the invention is realized as follows:
in a first aspect, a method of color shift detection, the method comprising:
detecting the current position of a display screen to be detected;
if the current position of the display screen to be detected is a preset photographing position, controlling the display screen to be detected to display a preset image;
controlling a preset black-and-white camera to shoot a display area of the display screen to be detected, which displays a preset image, so as to obtain a gray image corresponding to the display screen to be detected;
analyzing the gray value of the gray image to obtain a target analysis result;
and if the target analysis result meets a preset threshold condition, determining that the color cast of the display screen to be detected is qualified.
Optionally, the preset image includes a first preset number of equal-width stripes with different colors; the analyzing the gray value of the gray image to obtain a target analysis result comprises:
acquiring a gray value of each stripe from the gray image to obtain gray values of a first preset number of stripes; each stripe in the gray level image corresponds to a first preset number of different color equal-width stripes in the preset image one by one;
and obtaining the target analysis result based on the gray values of the first preset number of stripes.
Optionally, obtaining the target analysis result based on the gray-level values of the first preset number of stripes includes:
calculating the mean value of the gray value of each stripe in the gray values of the stripes with the first preset number to obtain a target result with the first preset number;
and analyzing the first preset number of target results to obtain the target analysis results.
Optionally, the analyzing the first preset number of target results to obtain the target analysis result includes:
sequentially acquiring each target result from the first preset number of target results; the target results with the first preset number are sorted according to the sequence of the first preset number of different color equal-width stripes in the preset image;
and calculating the ratio of each target result to each target result arranged behind each target result in sequence to obtain the target analysis result.
Optionally, before determining that the color cast of the display screen to be detected is qualified if the target analysis result meets a preset threshold condition, the method further includes:
acquiring a second preset number of preset gray level image samples; the preset gray image sample is obtained by shooting a display area of a second preset number of different display screens displaying the preset image through the black-and-white camera;
acquiring the gray value of each stripe of each preset gray image sample based on the second preset number of preset gray image samples to obtain the gray value of a second preset number of groups of stripes with the first preset number; each stripe in each preset gray image sample corresponds to a first preset number of different color equal-width stripes in the preset image one by one, and each preset gray image sample corresponds to a group of gray values of the stripes with the first preset number;
and obtaining the preset threshold condition based on the gray values of the second preset number group and the first preset number of stripes.
Optionally, obtaining the preset threshold condition based on the second preset number of groups of the gray-scale values of the first preset number of stripes includes:
acquiring the gray value of each group of the first preset number of stripes based on the gray values of the second preset number of groups of the first preset number of stripes;
calculating the mean value of the gray value of each stripe in the gray values of each group of the first preset number of stripes to obtain a group of the first preset number of reference results;
analyzing the reference results of each group of the first preset number to obtain a second preset number group of reference analysis results; wherein each group of the first preset number of reference results corresponds to a group of reference analysis results;
and carrying out statistical analysis on the reference analysis results of the second preset number group to obtain the preset threshold condition.
Optionally, the analyzing the first preset number of reference results of each group to obtain a second preset number of reference analysis results includes:
sequentially acquiring each reference result from each group of the first preset number of reference results; the reference results of each group of the first preset number are sorted according to the sequence of the first preset number of the equal-width stripes with different colors in the preset image;
and calculating the ratio of each reference result to each reference result arranged behind each reference result in sequence to obtain the second preset number group of reference analysis results.
Optionally, the performing statistical analysis on the second preset number group reference analysis result to obtain the preset threshold condition includes:
obtaining a second preset number of reference analysis results corresponding to each stripe from the second preset number of groups of reference analysis results;
respectively counting a second preset number of reference analysis results corresponding to each stripe by adopting a preset counting method to obtain a counting result;
determining a target reference analysis result corresponding to each stripe from the statistical results;
and when the target reference analysis result represents that the color cast of the display screen corresponding to each stripe is qualified, setting the target reference analysis result as the preset threshold condition.
In a second aspect, an electronic device, the electronic device comprising: a processor, a memory, and a communication bus, wherein:
the memory to store executable instructions;
the communication bus is used for realizing communication connection between the processor and the memory;
the processor is configured to execute the color cast detection program stored in the memory, so as to implement the color cast detection method according to any one of the above aspects.
In a third aspect, a computer-readable storage medium has stored thereon a color shift detection program which, when executed by a processor, implements the steps of the color shift detection method as described in any one of the above.
The embodiment of the invention provides a color cast detection method, electronic equipment and a computer readable storage medium. Therefore, the black-and-white camera is used for photographing the display screen to be detected for displaying the preset image so as to realize the detection of the color cast of the display screen to be detected, the problem that the color cast detection mode of the display screen is single in the prior art is solved, the color cast detection of the display screen by the black-and-white camera is realized, the detection mode of the color cast detection of the display screen is enriched, and the cost of the color cast detection of the display screen is reduced.
Drawings
Fig. 1 is a schematic flow chart of a color cast detection method according to an embodiment of the present invention;
fig. 2 is a schematic flow chart of another color shift detection method according to an embodiment of the present invention;
fig. 3 is a schematic diagram of an application scenario provided in the embodiment of the present invention;
fig. 4 is a schematic view of another application scenario provided in the embodiment of the present invention;
fig. 5 is a schematic flowchart of another color cast detection method according to an embodiment of the present invention;
fig. 6 is a schematic flowchart of another color cast detection method according to an embodiment of the present invention;
fig. 7 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
The technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention.
The invention can be applied to the production flow line of the display screen, and the display screen can be used as the display screen of any display equipment and has any size. The display screen production flow line may be a Liquid Crystal Display (LCD) production flow line, or a display screen production flow line made of different materials, such as an Organic Light-Emitting Diode (OLED) display screen production flow line. The display screen or display screen to be detected can be an LCD, an OLED or a display screen made of other materials.
An embodiment of the present invention provides a color cast detection method, which is applied to an electronic device, as shown in fig. 1, and includes the following steps:
In the embodiment of the present invention, the electronic device may be a corresponding control device, such as a computer device, in a production flow line, and the current position of the display screen to be detected may be detected by a detection sensor having a communication connection with the electronic device.
And 102, if the current position of the display screen to be detected is the preset photographing position, controlling the display screen to be detected to display a preset image.
In the embodiment of the present invention, the preset image is an image that is prepared in advance and stored when the color cast detection of the display screen is performed, and may be a photograph or a picture, and parameters such as the resolution size and the pixels of the preset image are known in advance. The detection sensor can be arranged at a preset photographing position, and the corresponding display screen to be detected is on a movable production flow line, for example, whether the display screen to be detected is moved to the preset photographing position currently can be detected through the infrared sensor. When the display screen to be detected is detected to move to the preset photographing position, a control signal is sent to the display screen to be detected, the display screen to be detected is controlled to work, namely, the display screen to be detected is in a bright screen state, and the display screen to be detected displays a preset image.
And 103, controlling a preset black-and-white camera to shoot a display area of the display screen to be detected, which displays a preset image, so as to obtain a gray image corresponding to the display screen to be detected.
In the embodiment of the invention, the black-and-white camera is in communication connection with the electronic equipment, and the electronic equipment can send the photographing control instruction to the black-and-white camera so as to control the black-and-white camera, so that after the display screen to be detected displays the preset image at the preset photographing position, the display area of the display screen to be detected displaying the preset image is photographed by the black-and-white camera, and the gray image corresponding to the display screen to be detected is obtained. When the black-and-white camera shoots the display area of the display screen to be detected, only one gray image or a plurality of gray images can be shot, and the shooting method can be specifically determined according to actual conditions.
And step 104, analyzing the gray value of the gray image to obtain a target analysis result.
In the embodiment of the invention, the electronic equipment analyzes the gray value of the gray image related to the preset image to obtain the target analysis result. The gray level image can be partitioned according to the outline in the preset image, the gray level value of each region in the gray level image is processed to obtain a processing result, and then corresponding analysis is carried out based on the processing result so as to obtain a target analysis result.
And 105, if the target analysis result meets a preset threshold condition, determining that the color cast of the display screen to be detected is qualified.
In the embodiment of the present invention, the preset threshold condition is obtained by performing gray-scale analysis processing on a plurality of sample images, where the sample images are related to the preset image.
The embodiment of the invention provides a color cast detection method, which comprises the steps of detecting the current position of a display screen to be detected, controlling the display screen to be detected to display a preset image if the current position of the display screen to be detected is a preset photographing position, controlling a preset black-and-white camera to photograph a display area of the display screen to be detected, which displays the preset image, so as to obtain a gray image corresponding to the display screen to be detected, analyzing the gray value of the gray image to obtain a target analysis result, and determining that the color cast of the display screen to be detected is qualified if the target analysis result meets a preset threshold condition. Therefore, the black-and-white camera is used for photographing the display screen to be detected for displaying the preset image so as to realize the detection of the color cast of the display screen to be detected, the problem that the color cast detection mode of the display screen is single in the prior art is solved, the color cast detection of the display screen by the black-and-white camera is realized, the detection mode of the color cast detection of the display screen is enriched, and the cost of the color cast detection of the display screen is reduced.
Based on the foregoing embodiments, an embodiment of the present invention provides a color shift detection method, which is applied to an electronic device and shown in fig. 2, and includes the following steps:
In the embodiment of the invention, the electronic device detects the current position of the display screen to be detected on the production flow line, for example, detects whether the display screen to be detected is moved to the preset photographing position currently.
The preset image comprises a first preset number of different color equal-width stripes.
In the embodiment of the present invention, the first predetermined number is obtained from an empirical value. Illustratively, the first preset number is 3, and the corresponding color is 3 primary colors red, green and blue, that is, the preset image may be a three-stripe equal-width image of three colors of red, green and blue, as shown in fig. 3, the preset image is a three-stripe equal-width image including three colors of red, green and blue, where a is red, B is green, and C is blue. The preset image may also be an image with 6 stripes or more stripes, where the three colors of red, green and blue alternately appear in sequence, the color of the preset image is not limited to red, green and blue, and the first preset number is any number determined according to an actual situation, and is not limited here.
And if the current position of the display screen to be detected is detected to be the preset photographing position, controlling the display screen to be detected to display the preset image when the current position of the display screen to be detected is detected to be the preset photographing position.
And 203, controlling a preset black-and-white camera to shoot a display area of the display screen to be detected, which displays a preset image, so as to obtain a gray image corresponding to the display screen to be detected.
In the embodiment of the invention, the black-and-white camera photographs the photographic object to obtain the gray-scale image corresponding to the photographic object. When the black-and-white camera performs framing shooting on the display area of the display screen to be detected displaying the preset image, shooting the whole display area of the display screen to be detected displaying the preset image, wherein the shooting area of the black-and-white camera during shooting is exemplarily shown as D in fig. 4. In some application scenes, when one gray image corresponding to the same display screen to be detected is obtained by shooting with a black-and-white camera, the gray image is subjected to subsequent processing; when at least two gray images corresponding to the same display screen to be detected are obtained by shooting with the black-and-white camera, one gray image can be selected from the at least two gray images or one gray image can be selected according to a preset rule for subsequent processing, or part or all of the obtained at least two gray images are subjected to subsequent analysis processing. In some application scenarios, at least two black-and-white cameras can be used to acquire gray scale images of the same display screen to be detected and perform subsequent analysis processing, wherein each black-and-white camera can acquire only one gray scale image or multiple gray scale images, and only one image, or part or all of the gray scale images can be processed when the multiple gray scale images are acquired.
Each stripe in the gray level image corresponds to a first preset number of different color equal-width stripes in a preset image one by one.
In the embodiment of the present invention, in the gray image obtained by shooting the preset image composed of stripes displaying different colors, the gray values corresponding to the stripes of different colors are different, so that the regions where the different stripes are located can be determined according to the profiles of the different gray values, and the gray value of each pixel of each stripe in the region where the different stripes are located can be obtained, and therefore, the gray values of a first preset number of stripes can be obtained, and the gray value of each stripe includes the gray values of a plurality of pixels and is a gray value set. For example, in the grayscale image obtained by capturing the preset image shown in fig. 3 on the display screen to be detected by the black-and-white camera, the obtained distribution of stripe regions is still as shown in fig. 3, except that the corresponding grayscale values of A, B, C are different, the grayscale values of each pixel in each region of the grayscale image A, B, C are respectively obtained, a grayscale value set of 3 stripes is obtained, the grayscale values of a stripe are denoted as a (a1, a2, … …, An), the grayscale values of B stripe are denoted as B (B1, B2, … …, Bn), the grayscale values of stripe are denoted as C (C1, C2, … …, Cn), and since the stripes are of equal width, the number of pixels of each stripe is n, n is a positive integer greater than 1, a1, a2, … …, An, B1, B2, … …, Bn, C1, C2, … …, Cn all represent grayscale values. In some application scenarios, the preset stripes may not be equal-width stripes.
In the embodiment of the present invention, the gray values of the first preset number of stripes are respectively processed, or the gray values of the first preset number of stripes are integrated, so as to obtain a target analysis result, where the target analysis result may be one result or multiple results. For example, a preset algorithm may be adopted to respectively calculate the gray value sets of the 3 stripes to obtain 3 sets of results, and then the 3 sets of results are analyzed to obtain a target analysis result.
And step 206, if the target analysis result meets the preset threshold condition, determining that the color cast of the display screen to be detected is qualified.
In the embodiment of the present invention, the preset threshold condition may be determined by performing statistical analysis on target analysis results obtained by processing a plurality of grayscale image samples corresponding to the preset image by using the methods in steps 204 to 205.
It should be noted that, for the descriptions of the same steps and the same contents in this embodiment as those in other embodiments, reference may be made to the descriptions in other embodiments, which are not described herein again.
The embodiment of the invention provides a color cast detection method, which comprises the steps of detecting the current position of a display screen to be detected, controlling the display screen to be detected to display a preset image if the current position of the display screen to be detected is a preset photographing position, controlling a preset black-and-white camera to photograph a display area of the display screen to be detected, which displays the preset image, so as to obtain a gray image corresponding to the display screen to be detected, analyzing the gray value of the gray image to obtain a target analysis result, and determining that the color cast of the display screen to be detected is qualified if the target analysis result meets a preset threshold condition. Therefore, the black-and-white camera is used for photographing the display screen to be detected for displaying the preset image so as to realize the detection of the color cast of the display screen to be detected, the problem that the color cast detection mode of the display screen is single in the prior art is solved, the color cast detection of the display screen by the black-and-white camera is realized, the detection mode of the color cast detection of the display screen is enriched, and the cost of the color cast detection of the display screen is reduced.
Based on the foregoing embodiments, an embodiment of the present invention provides a color shift detection method, which is applied to an electronic device and shown in fig. 5, and includes the following steps:
And 303, controlling a preset black-and-white camera to shoot a display area of the display screen to be detected, which displays the preset image, so as to obtain a gray image corresponding to the display screen to be detected.
The preset image comprises a first preset number of different color equal-width stripes.
And 304, acquiring the gray value of each stripe from the gray image to obtain the gray values of the stripes with a first preset number.
Each stripe in the gray level image corresponds to a first preset number of different color equal-width stripes in a preset image one by one.
In the embodiment of the present invention, the average value may be an average value, a root mean square average value, or the like. For example, for the gray-scale value sets a (a1, a2, … …, An), B (B1, B2, … …, Bn), C (C1, C2, … …, Cn) of 3 stripes, the average of the gray-scale values of each stripe is calculated by using the formula x ═ x1+ x2+ … … + xn)/n, so that the average of the stripe a, the average of the stripe B, and the average of the stripe C can be obtained, and these 3 averages are the target result.
And step 306, analyzing the first preset number of target results to obtain target analysis results.
In the embodiment of the invention, the target results in the first preset number of target results are analyzed pairwise respectively, so that the target analysis result is obtained.
In other embodiments of the present invention, step 306 may be implemented by steps a 1-a 2:
step a1, sequentially obtaining each target result from the first preset number of target results.
The target results of the first preset number are sorted according to the sequence of the first preset number of different color equal-width stripes in the preset image.
In the embodiment of the present invention, the sequence of the 3 kinds of color equal-width stripes in the red, green, and blue equal-width stripe preset image is the red stripe, the green stripe, and the blue stripe in sequence, so that the mean value of the gray value mean stripe a corresponding to the red stripe, the mean value of the gray value mean stripe B corresponding to the green stripe, and the mean value of the gray value mean stripe C corresponding to the blue stripe can be sequentially obtained from the 3 target results.
Step a2, calculating the ratio of each target result to each target result arranged behind each target result in turn, thereby obtaining target analysis results.
In the embodiment of the invention, the ratio of the mean value of the stripe A to the mean value of the stripe B is sequentially calculated to obtain the first ratio, the ratio of the mean value of the stripe A to the mean value of the stripe C to obtain the second ratio, and the ratio of the mean value of the stripe B to the mean value of the stripe C to obtain the third ratio, so that the target analysis results are the first ratio, the second ratio and the third ratio.
And 307, if the target analysis result meets a preset threshold condition, determining that the color cast of the display screen to be detected is qualified.
In the embodiment of the invention, if each ratio in the target analysis result meets the preset threshold condition, or the preset number of ratios in the target analysis result meets the preset threshold condition, the color cast of the display screen to be detected is determined to be qualified.
In another embodiment of the present invention, as shown in fig. 6, before the electronic device performs step 307, the following steps 308-310 may be optionally performed:
and 308, acquiring a second preset number of preset gray level image samples.
The preset gray image sample is obtained by shooting display areas of a second preset number of different display screens displaying the preset image through a black-and-white camera.
In the embodiment of the present invention, the second preset number is an empirical value, and the more it is, the better. It should be noted that, with the use of the electronic device, the number of the preset grayscale image samples may be increased continuously.
Each stripe in each preset gray level image sample corresponds to a first preset number of different color equal-width stripes in the preset image one by one, and each preset gray level image sample corresponds to a group of gray values of the stripes with the first preset number.
In the embodiment of the present invention, the preset threshold condition may be changed according to the increase of the grayscale image samples.
In other embodiments of the present invention, step 310 may be implemented by the following steps b 1-b 4:
step b1, acquiring the gray value of each group of the first preset number of stripes based on the gray values of the second preset number of groups of the first preset number of stripes.
Step b2, calculating the mean value of the gray value of each stripe in the gray values of each group of the first preset number of stripes to obtain the reference result of each group of the first preset number of stripes.
Step b3, analyzing the first preset number of reference results of each group to obtain a second preset number of group reference analysis results.
Wherein each group of the first predetermined number of reference results corresponds to a group of reference analysis results.
In other embodiments of the present invention, step b3 can be realized by the following steps b 31-b 32:
step b31, sequentially obtaining each reference result from each group of the first preset number of reference results.
And each group of the reference results with the first preset number is sorted according to the sequence of the first preset number of the different-color equal-width stripes in the preset image.
Step b32, calculating the ratio of each reference result to each reference result arranged behind each reference result in turn, thereby obtaining a second preset number of sets of reference analysis results.
And b4, performing statistical analysis on the reference analysis results of the second preset number group to obtain a preset threshold condition.
In other embodiments of the present invention, step b4 may be implemented by the following steps:
step b41, obtaining a second preset number of reference analysis results corresponding to each stripe from the second preset number of reference analysis results.
And b42, respectively counting a second preset number of reference analysis results corresponding to each stripe by adopting a preset counting method to obtain a counting result.
In the embodiment of the present invention, the preset statistical method may be a normal statistical method, or the like.
And b43, determining a target reference analysis result corresponding to each stripe from the statistical results.
In the embodiment of the present invention, the target reference analysis result may be a threshold range or a threshold.
And b44, when the target reference analysis result represents that the color cast of the display screen corresponding to each stripe is qualified, setting the target reference analysis result as a preset threshold condition.
In this embodiment of the present invention, the target analysis result calculated in step a2 is a first ratio, a second ratio, and a third ratio, and the corresponding preset threshold conditions also include three sets of preset sub-threshold conditions, that is, the first ratio corresponding to the stripe a needs to satisfy the first preset sub-threshold condition corresponding to the stripe a, the second ratio corresponding to the stripe B needs to satisfy the second preset sub-threshold condition corresponding to the stripe B, and the third ratio corresponding to the stripe C needs to satisfy the third preset sub-threshold condition corresponding to the stripe C, where the preset threshold conditions include the first preset sub-threshold condition, the second preset sub-threshold condition, and the third preset sub-threshold condition. Correspondingly, if the target analysis result meets the preset threshold condition in step 307, it is determined that the color cast of the display screen to be detected is qualified specifically when at least two ratios meet the corresponding sub-threshold conditions, and it is determined that the color cast of the display screen to be detected is qualified, that is, when at least two ratios are matched with the respective corresponding thresholds, or when at least two ratios are within the respective corresponding sub-threshold ranges, it is determined that the color cast of the display screen to be detected is qualified; and if one ratio is not matched with the corresponding sub-threshold, or one ratio is not in the corresponding sub-threshold range, or only one ratio is matched with the corresponding sub-threshold, or only one ratio is in the corresponding sub-threshold range, determining that the color cast of the display screen to be detected is unqualified.
It should be noted that, as shown in fig. 6, the steps 308 to 310 may be executed after the step 306 and before the step 307, or may be executed before any of the steps 301 to 306 according to the actual situation, which is not limited herein.
It should be noted that, for the descriptions of the same steps and the same contents in this embodiment as those in other embodiments, reference may be made to the descriptions in other embodiments, which are not described herein again.
The embodiment of the invention provides a color cast detection method, which comprises the steps of detecting the current position of a display screen to be detected, controlling the display screen to be detected to display a preset image if the current position of the display screen to be detected is a preset photographing position, controlling a preset black-and-white camera to photograph a display area of the display screen to be detected, which displays the preset image, so as to obtain a gray image corresponding to the display screen to be detected, analyzing the gray value of the gray image to obtain a target analysis result, and determining that the color cast of the display screen to be detected is qualified if the target analysis result meets a preset threshold condition. Therefore, the black-and-white camera is used for photographing the display screen to be detected for displaying the preset image so as to realize the detection of the color cast of the display screen to be detected, the problem that the color cast detection mode of the display screen is single in the prior art is solved, the color cast detection of the display screen by the black-and-white camera is realized, the detection mode of the color cast detection of the display screen is enriched, and the cost of the color cast detection of the display screen is reduced.
Based on the foregoing embodiments, an embodiment of the present invention provides an electronic device, which may be applied in the color shift detection method provided in the embodiments corresponding to fig. 1 to 2 and 5 to 6, and as shown in fig. 7, the electronic device 4 may include: a processor 41, a memory 42, and a communication bus 43, wherein:
the communication bus 43 is used for realizing communication connection between the processor 41 and the memory 42;
the processor 41 is configured to execute the color shift detection program stored in the memory 42 to implement the following steps:
detecting the current position of a display screen to be detected;
if the current position of the display screen to be detected is the preset photographing position, controlling the display screen to be detected to display a preset image;
controlling a preset black-and-white camera to shoot a display area of a display screen to be detected, which displays a preset image, so as to obtain a gray image corresponding to the display screen to be detected;
analyzing the gray value of the gray image to obtain a target analysis result;
and if the target analysis result meets the preset threshold condition, determining that the color cast of the display screen to be detected is qualified.
In other embodiments of the present invention, the processor executes the preset image to include a first preset number of different color equal-width stripes; analyzing the gray value of the gray image to obtain a target analysis result so as to realize the following steps:
acquiring a gray value of each stripe from the gray image to obtain gray values of a first preset number of stripes; each stripe in the gray level image corresponds to a first preset number of different color equal-width stripes in a preset image one by one;
and obtaining a target analysis result based on the gray values of the first preset number of stripes.
In other embodiments of the present invention, the processor executes the gray scale value based on the first preset number of stripes to obtain the target analysis result, so as to implement the following steps:
calculating the mean value of the gray value of each stripe in the gray values of the stripes with the first preset number to obtain target results with the first preset number;
and analyzing the first preset number of target results to obtain target analysis results.
In other embodiments of the present invention, the processor performs analysis on a first preset number of target results to obtain target analysis results, so as to implement the following steps:
sequentially acquiring each target result from a first preset number of target results; the target results of the first preset number are sorted according to the sequence of the first preset number of different color equal-width stripes in the preset image;
and calculating the ratio of each target result to each target result arranged behind each target result in sequence to obtain a target analysis result.
In other embodiments of the present invention, the processor is further configured to execute the following steps before determining that the color cast of the display screen to be detected is qualified if the target analysis result meets a preset threshold condition:
acquiring a second preset number of preset gray level image samples; the preset gray image sample is obtained by shooting display areas of a second preset number of different display screens displaying the preset image through a black-and-white camera;
acquiring the gray value of each stripe of each preset gray image sample based on a second preset number of preset gray image samples to obtain the gray values of a second preset number of groups of stripes with a first preset number; each stripe in each preset gray level image sample corresponds to a first preset number of different color equal-width stripes in the preset image one by one, and each preset gray level image sample corresponds to a group of gray values of the stripes with the first preset number;
and obtaining a preset threshold condition based on the gray values of the second preset number of groups and the first preset number of stripes.
In other embodiments of the present invention, the processor executes the gray scale value based on the second preset number group and the first preset number of stripes to obtain the preset threshold condition, so as to implement the following steps:
acquiring the gray value of each group of the first preset number of stripes based on the gray values of the second preset number of groups of the first preset number of stripes;
calculating the mean value of the gray value of each stripe in the gray values of each group of the first preset number of stripes to obtain the reference result of each group of the first preset number of stripes;
analyzing each group of the first preset number of reference results to obtain a second preset number of groups of reference analysis results; wherein each group of the first preset number of reference results corresponds to a group of reference analysis results;
and carrying out statistical analysis on the reference analysis results of the second preset number group to obtain a preset threshold condition.
In other embodiments of the present invention, the processor performs an analysis on each group of the first preset number of reference results to obtain a second preset number of groups of reference analysis results, so as to implement the following steps:
sequentially acquiring each reference result from each group of the first preset number of reference results; the reference results of each group with the first preset number are sorted according to the sequence of the first preset number of different color equal-width stripes in the preset image;
and calculating the ratio of each reference result to each reference result arranged behind each reference result in sequence to obtain a second preset number of groups of reference analysis results.
In other embodiments of the present invention, the processor performs statistical analysis on the second preset number group reference analysis result to obtain a preset threshold condition, so as to implement the following steps:
acquiring a second preset number of reference analysis results corresponding to each stripe from the second preset number of groups of reference analysis results;
respectively counting a second preset number of reference analysis results corresponding to each stripe by adopting a preset counting method to obtain a counting result;
determining a target reference analysis result corresponding to each stripe from the statistical results;
and when the target reference analysis result represents that the color cast of the display screen corresponding to each stripe is qualified, setting the target reference analysis result as a preset threshold condition.
It should be noted that, in the embodiment, a specific implementation process of the step executed by the processor may refer to implementation processes in the color cast detection method provided in embodiments corresponding to fig. 1 to 2 and 5 to 6, and details are not described here.
The embodiment of the invention provides electronic equipment, which comprises the steps of detecting the current position of a display screen to be detected, controlling the display screen to be detected to display a preset image if the current position of the display screen to be detected is the preset photographing position, controlling a preset black-and-white camera to photograph a display area of the display screen to be detected, wherein the display area displays the preset image, obtaining a gray image corresponding to the display screen to be detected, analyzing the gray value of the gray image, obtaining a target analysis result, and determining that the color cast of the display screen to be detected is qualified if the target analysis result meets a preset threshold condition. Therefore, the black-and-white camera is used for photographing the display screen to be detected for displaying the preset image so as to realize the detection of the color cast of the display screen to be detected, the problem that the color cast detection mode of the display screen is single in the prior art is solved, the color cast detection of the display screen by the black-and-white camera is realized, the detection mode of the color cast detection of the display screen is enriched, and the cost of the color cast detection of the display screen is reduced.
Based on the foregoing embodiments, embodiments of the present invention provide a computer-readable storage medium, which can be applied to the methods provided in the corresponding embodiments of fig. 1-2 and 5-6, and which stores one or more programs, and the one or more programs can be executed by one or more processors to implement the following steps:
detecting the current position of a display screen to be detected;
if the current position of the display screen to be detected is the preset photographing position, controlling the display screen to be detected to display a preset image;
controlling a preset black-and-white camera to shoot a display area of a display screen to be detected, which displays a preset image, so as to obtain a gray image corresponding to the display screen to be detected;
analyzing the gray value of the gray image to obtain a target analysis result;
and if the target analysis result meets the preset threshold condition, determining that the color cast of the display screen to be detected is qualified.
In other embodiments of the present invention, the processor executes the preset image to include a first preset number of different color equal-width stripes; analyzing the gray value of the gray image to obtain a target analysis result so as to realize the following steps:
acquiring a gray value of each stripe from the gray image to obtain gray values of a first preset number of stripes; each stripe in the gray level image corresponds to a first preset number of different color equal-width stripes in a preset image one by one;
and obtaining a target analysis result based on the gray values of the first preset number of stripes.
In other embodiments of the present invention, the processor executes the gray scale value based on the first preset number of stripes to obtain the target analysis result, so as to implement the following steps:
calculating the mean value of the gray value of each stripe in the gray values of the stripes with the first preset number to obtain target results with the first preset number;
and analyzing the first preset number of target results to obtain target analysis results.
In other embodiments of the present invention, the processor performs analysis on a first preset number of target results to obtain target analysis results, so as to implement the following steps:
sequentially acquiring each target result from a first preset number of target results; the target results of the first preset number are sorted according to the sequence of the first preset number of different color equal-width stripes in the preset image;
and calculating the ratio of each target result to each target result arranged behind each target result in sequence to obtain a target analysis result.
In other embodiments of the present invention, the processor is further configured to execute the following steps before determining that the color cast of the display screen to be detected is qualified if the target analysis result meets a preset threshold condition:
acquiring a second preset number of preset gray level image samples; the preset gray image sample is obtained by shooting display areas of a second preset number of different display screens displaying the preset image through a black-and-white camera;
acquiring the gray value of each stripe of each preset gray image sample based on a second preset number of preset gray image samples to obtain the gray values of a second preset number of groups of stripes with a first preset number; each stripe in each preset gray level image sample corresponds to a first preset number of different color equal-width stripes in the preset image one by one, and each preset gray level image sample corresponds to a group of gray values of the stripes with the first preset number;
and obtaining a preset threshold condition based on the gray values of the second preset number of groups and the first preset number of stripes.
In other embodiments of the present invention, the processor executes the gray scale value based on the second preset number group and the first preset number of stripes to obtain the preset threshold condition, so as to implement the following steps:
acquiring the gray value of each group of the first preset number of stripes based on the gray values of the second preset number of groups of the first preset number of stripes;
calculating the mean value of the gray value of each stripe in the gray values of each group of the first preset number of stripes to obtain the reference result of each group of the first preset number of stripes;
analyzing each group of the first preset number of reference results to obtain a second preset number of groups of reference analysis results; wherein each group of the first preset number of reference results corresponds to a group of reference analysis results;
and carrying out statistical analysis on the reference analysis results of the second preset number group to obtain a preset threshold condition.
In other embodiments of the present invention, the processor performs an analysis on each group of the first preset number of reference results to obtain a second preset number of groups of reference analysis results, so as to implement the following steps:
sequentially acquiring each reference result from each group of the first preset number of reference results; the reference results of each group with the first preset number are sorted according to the sequence of the first preset number of different color equal-width stripes in the preset image;
and calculating the ratio of each reference result to each reference result arranged behind each reference result in sequence to obtain a second preset number of groups of reference analysis results.
In other embodiments of the present invention, the processor performs statistical analysis on the second preset number group reference analysis result to obtain a preset threshold condition, so as to implement the following steps:
acquiring a second preset number of reference analysis results corresponding to each stripe from the second preset number of groups of reference analysis results;
respectively counting a second preset number of reference analysis results corresponding to each stripe by adopting a preset counting method to obtain a counting result;
determining a target reference analysis result corresponding to each stripe from the statistical results;
and when the target reference analysis result represents that the color cast of the display screen corresponding to each stripe is qualified, setting the target reference analysis result as a preset threshold condition.
It should be noted that, in the embodiment of the present invention, the one or more programs may be explained by steps of the one or more processors, and refer to implementation processes in the color cast detection method provided in the embodiments corresponding to fig. 1 to 2 and 5 to 6, which are not described herein again.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of a hardware embodiment, a software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the scope of the present invention.
Claims (9)
1. A method of color cast detection, the method comprising:
detecting the current position of a display screen to be detected;
if the current position of the display screen to be detected is a preset photographing position, controlling the display screen to be detected to display a preset image;
controlling a preset black-and-white camera to shoot a display area of the display screen to be detected, which displays a preset image, so as to obtain a gray image corresponding to the display screen to be detected;
analyzing the gray value of the gray image to obtain a target analysis result;
if the target analysis result meets a preset threshold condition, determining that the color cast of the display screen to be detected is qualified;
the preset image comprises a first preset number of different color equal-width stripes; the analyzing the gray value of the gray image to obtain a target analysis result comprises:
acquiring a gray value of each stripe from the gray image to obtain gray values of a first preset number of stripes; each stripe in the gray level image corresponds to a first preset number of different color equal-width stripes in the preset image one by one;
and obtaining the target analysis result based on the gray values of the first preset number of stripes.
2. The method of claim 1, wherein obtaining the target analysis result based on the gray-level values of the first preset number of stripes comprises:
calculating the mean value of the gray value of each stripe in the gray values of the stripes with the first preset number to obtain a target result with the first preset number;
and analyzing the first preset number of target results to obtain the target analysis results.
3. The method of claim 2, wherein the analyzing the first predetermined number of target results to obtain the target analysis result comprises:
sequentially acquiring each target result from the first preset number of target results; the target results with the first preset number are sorted according to the sequence of the first preset number of different color equal-width stripes in the preset image;
and calculating the ratio of each target result to each target result arranged behind each target result in sequence to obtain the target analysis result.
4. The method according to claim 1, wherein before determining that the color cast of the display screen to be detected is qualified if the target analysis result satisfies a preset threshold condition, the method further comprises:
acquiring a second preset number of preset gray level image samples; the preset gray image sample is obtained by shooting a display area of a second preset number of different display screens displaying the preset image through the black-and-white camera;
acquiring the gray value of each stripe of each preset gray image sample based on the second preset number of preset gray image samples to obtain the gray value of a second preset number of groups of stripes with the first preset number; each stripe in each preset gray image sample corresponds to a first preset number of different color equal-width stripes in the preset image one by one, and each preset gray image sample corresponds to a group of gray values of the stripes with the first preset number;
and obtaining the preset threshold condition based on the gray values of the second preset number group and the first preset number of stripes.
5. The method according to claim 4, wherein obtaining the predetermined threshold condition based on the gray-level values of the second predetermined number of groups of the first predetermined number of stripes comprises:
acquiring the gray value of each group of the first preset number of stripes based on the gray values of the second preset number of groups of the first preset number of stripes;
calculating the mean value of the gray value of each stripe in the gray values of each group of the first preset number of stripes to obtain a group of the first preset number of reference results;
analyzing the reference results of each group of the first preset number to obtain a second preset number group of reference analysis results; wherein each group of the first preset number of reference results corresponds to a group of reference analysis results;
and carrying out statistical analysis on the reference analysis results of the second preset number group to obtain the preset threshold condition.
6. The method of claim 5, wherein said analyzing each set of the first predetermined number of reference results to obtain a second predetermined number of sets of reference analysis results comprises:
sequentially acquiring each reference result from each group of the first preset number of reference results; the reference results of each group of the first preset number are sorted according to the sequence of the first preset number of the equal-width stripes with different colors in the preset image;
and calculating the ratio of each reference result to each reference result arranged behind each reference result in sequence to obtain the second preset number group of reference analysis results.
7. The method according to claim 5 or 6, wherein said performing a statistical analysis on said second predetermined number of groups of reference analysis results to obtain said predetermined threshold condition comprises:
obtaining a second preset number of reference analysis results corresponding to each stripe from the second preset number of groups of reference analysis results;
respectively counting a second preset number of reference analysis results corresponding to each stripe by adopting a preset counting method to obtain a counting result;
determining a target reference analysis result corresponding to each stripe from the statistical results;
and when the target reference analysis result represents that the color cast of the display screen corresponding to each stripe is qualified, setting the target reference analysis result as the preset threshold condition.
8. An electronic device, the electronic device comprising: a processor, a memory, and a communication bus, wherein:
the memory to store executable instructions;
the communication bus is used for realizing communication connection between the processor and the memory;
the processor is configured to execute the color cast detection program stored in the memory to implement the color cast detection method according to any one of claims 1 to 7.
9. A computer-readable storage medium having stored thereon a color shift detection program which, when executed by a processor, implements the steps of the color shift detection method according to any one of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911011033.5A CN110794599B (en) | 2019-10-23 | 2019-10-23 | Color cast detection method, electronic equipment and computer readable storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911011033.5A CN110794599B (en) | 2019-10-23 | 2019-10-23 | Color cast detection method, electronic equipment and computer readable storage medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110794599A CN110794599A (en) | 2020-02-14 |
| CN110794599B true CN110794599B (en) | 2021-11-16 |
Family
ID=69440940
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911011033.5A Active CN110794599B (en) | 2019-10-23 | 2019-10-23 | Color cast detection method, electronic equipment and computer readable storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110794599B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111579211B (en) * | 2020-05-19 | 2022-09-30 | Oppo（重庆）智能科技有限公司 | Display screen detection method, detection device and computer storage medium |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20050029899A (en) * | 2003-09-24 | 2005-03-29 | 주식회사 팬택앤큐리텔 | Apparatus and method for changeover display mode |
| CN103037224A (en) * | 2012-12-07 | 2013-04-10 | 珠海全志科技股份有限公司 | Image white balance processing method and device |
| CN103491357A (en) * | 2013-10-14 | 2014-01-01 | 旗瀚科技有限公司 | Auto white balance treatment method of image sensor |
| CN108063901A (en) * | 2017-12-27 | 2018-05-22 | 努比亚技术有限公司 | A kind of image-pickup method, terminal and computer readable storage medium |
| CN109471276A (en) * | 2018-11-07 | 2019-03-15 | 凌云光技术集团有限责任公司 | A kind of liquid crystal display colour cast defect inspection method and device |
-
2019
- 2019-10-23 CN CN201911011033.5A patent/CN110794599B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20050029899A (en) * | 2003-09-24 | 2005-03-29 | 주식회사 팬택앤큐리텔 | Apparatus and method for changeover display mode |
| CN103037224A (en) * | 2012-12-07 | 2013-04-10 | 珠海全志科技股份有限公司 | Image white balance processing method and device |
| CN103491357A (en) * | 2013-10-14 | 2014-01-01 | 旗瀚科技有限公司 | Auto white balance treatment method of image sensor |
| CN108063901A (en) * | 2017-12-27 | 2018-05-22 | 努比亚技术有限公司 | A kind of image-pickup method, terminal and computer readable storage medium |
| CN109471276A (en) * | 2018-11-07 | 2019-03-15 | 凌云光技术集团有限责任公司 | A kind of liquid crystal display colour cast defect inspection method and device |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110794599A (en) | 2020-02-14 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105185314B (en) | LED display uniformity compensation method | |
| US10750141B2 (en) | Automatic calibration projection system and method | |
| CN108234824B (en) | Shadow correction detection parameter determination method, shadow correction detection device, storage medium and fisheye camera | |
| US20090185800A1 (en) | Method and system for determining optimal exposure of structured light based 3d camera | |
| CN111091785B (en) | Color cast compensation method and device | |
| CN117130186B (en) | LCD display screen flaw defect intelligent detection method | |
| CN108986721B (en) | Detection graph generation method for display panel detection | |
| CN106372701A (en) | Optical label coding and identification method | |
| CN110675789B (en) | Information processing method, system and computer storage medium | |
| CN100525475C (en) | Method of detecting image definition | |
| CN110794599B (en) | Color cast detection method, electronic equipment and computer readable storage medium | |
| EP3363193B1 (en) | Device and method for reducing the set of exposure times for high dynamic range video imaging | |
| CN112492191B (en) | Image acquisition method, device, equipment and medium | |
| CN111160340B (en) | Moving object detection method and device, storage medium and terminal equipment | |
| CN106683047B (en) | Illumination compensation method and system for panoramic image | |
| CN109932160B (en) | AOI and gray scale meter detection system and method | |
| CN111757002B (en) | Image processing method, output control method, image acquisition device and display device | |
| CN113870768B (en) | Display compensation method and device | |
| CN111145674B (en) | Display panel detection method, electronic device and storage medium | |
| KR20150009842A (en) | System for testing camera module centering and method for testing camera module centering using the same | |
| CN113419909A (en) | Display uniformity detection method and computer equipment | |
| CN112985767A (en) | Method for shooting pixel brightness of display panel and related device | |
| RU2346331C1 (en) | Method of automatic estimate of lcd data display correctness | |
| CN114724502B (en) | Method, system and device for determining influence of ambient light of LED display screen and electronic equipment | |
| CN104796677B (en) | Focal length adjusting method and focal length adjusting device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |