CN109856824A - A kind of detection method and its detection system showing picture - Google Patents
A kind of detection method and its detection system showing picture Download PDFInfo
- Publication number
- CN109856824A CN109856824A CN201811572111.4A CN201811572111A CN109856824A CN 109856824 A CN109856824 A CN 109856824A CN 201811572111 A CN201811572111 A CN 201811572111A CN 109856824 A CN109856824 A CN 109856824A
- Authority
- CN
- China
- Prior art keywords
- data
- picture
- saturation
- brightness
- processing terminal
- 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.)
- Granted
Links
Abstract
The present invention provides a kind of detection method and its detection system for showing picture, comprising the following steps: shows test pictures by measured panel；The test pictures are shot by photographic device to obtain picture data；The picture data is converted by processing terminal to obtain its corresponding colorspace data；The colorspace data is analyzed by the processing terminal with construction chroma data, saturation data and brightness data；Whether meet the corresponding preset threshold range of each data by the analysis of the processing terminal respectively chroma data, the saturation data and the brightness data, to determine the test pictures with the presence or absence of abnormal；The effective position for analyzing and determining the anomaly parameter in display picture, and marked in the form of pixel coordinate, and then improve the quality of the display picture of display panel.
Description
Technical field
The present invention relates to the technical fields of display panel production detection, in particular to a kind of detection for showing picture
Method and its detection system.
Background technique
With the development of field of liquid crystal display, liquid crystal display device is widely used in various industries, such as: liquid
Brilliant TV, mobile phone, personal digital assistant, digital camera, computer screen or laptop screen etc., in FPD
It occupies an leading position in field.
Liquid crystal display device is widely used in various industries, and with advances in technology, user is to liquid crystal display device
It is required that also higher and higher, the cost performance of the visual experience and product that improve user is the developing direction of current field of liquid crystal display.
Therefore, for liquid crystal display device other than exploitation improves the new technology of visual experience, it is also aobvious at present for reducing production cost
Show the research direction in field.
Currently, the major part in LCD (Liquid Crystal Display, liquid crystal display) manufacturing process has been carried out
Automated production, but in the context of detection of LCD product, to the inspection of liquid crystal display device progress by way of artificial detection
Survey, for example detect the display picture of liquid crystal display device, switching circuit etc., this largely affects LCD production field
Production efficiency and a large amount of human cost of consuming.
Therefore, in LCD (Liquid Crystal Display, liquid crystal display) manufacture production process, production is improved
Efficiency improves the quality of the display picture of display panel, saves time cost and cost of human resources, be in field of liquid crystal display
Technical problem urgently to be solved.
Summary of the invention
In order to solve the above-mentioned technical problem, the purpose of the application is, provide it is a kind of show picture detection method and its
Detection system, improves the efficiency in production process, and the quality of effective detection display picture reduces production cost.
It the purpose of the application and solves its technical problem and adopts the following technical solutions to realize.It is proposed according to the application
A kind of display picture detection method, comprising the following steps: test pictures step S201: are shown by measured panel；Step
S202: the test pictures are shot to obtain picture data by photographic device；Step S203: described in being converted by processing terminal
Picture data is to obtain its corresponding colorspace data；Step S204: the color space is analyzed by the processing terminal
Data are with construction chroma data, saturation data and brightness data；Step S205: pass through the analysis of the processing terminal respectively
Whether the chroma data, the saturation data and the brightness data meet the corresponding preset threshold range of each data,
To determine the test pictures with the presence or absence of abnormal.
In the embodiment of the application, the chroma data is the colorimetric parameter set that multiple colorimetric parameters are formed, institute
State the pixel coordinate that multiple colorimetric parameters correspond to the picture data.
In the embodiment of the application, the saturation data is the saturation parameters collection that multiple saturation parameters are formed
It closes, the multiple saturation parameters correspond to the pixel coordinate of the picture data.
In the embodiment of the application, the brightness data are the brightness parameters collection that multiple brightness parameters are formed
It closes, the multiple brightness parameters correspond to the pixel coordinate of the picture data.
In the embodiment of the application, when the processing terminal determines that the test pictures are deposited when abnormal, according to institute
At least abnormal data stated in colorimetric parameter set, the saturation parameters set and the brightness parameters set obtains it
Corresponding pixel coordinate.
In the embodiment of the application, before described the step of showing test pictures by measured panel, further include
The step of obtaining the sample data of sample picture, carrying out preset threshold range described in construction, construct preset threshold range packet
It includes: multiple sample pictures is shown by sample panel；It is more to obtain that the multiple sample picture is shot by the photographic device
A sample data；The multiple sample data is converted by the processing terminal to obtain its corresponding multiple color space sample
Data；The multiple color space sample data is analyzed by the processing terminal with construction chroma sample data group, saturation degree
Sample data group and brightness sample data group；By the processing terminal from the chroma sample data group, the saturation degree
The majority parameter values of sample data group and the acquirement data group out of the ordinary in the brightness sample data group respectively, with construction institute
State preset threshold range.
In the embodiment of the application, the preset threshold range includes upper limit threshold and lower threshold, wherein described
The upper limit threshold of chroma data is the maximum value in chroma data group, and the lower threshold of the chroma data is in chroma data group
Minimum value.
In the embodiment of the application, the preset threshold range includes upper limit threshold and lower threshold, wherein described
The upper limit threshold of saturation data is the maximum value in saturation data group, and the lower threshold of the saturation data is saturation degree
Minimum value in data group.
In the embodiment of the application, the preset threshold range includes upper limit threshold and lower threshold, wherein described
The upper limit threshold of brightness data is the maximum value in brightness data group, and the lower threshold of the brightness data is brightness
Minimum value in data group.
The further object of the application is to provide a kind of detection system for showing picture, comprising: measured panel, for showing
Test pictures；Photographic device shoots the test pictures to take picture data；And processing terminal, connect the photographic device
To obtain the picture data, it includes: conversion module that the processing is auspicious eventually, converts the picture data to obtain its corresponding face
Colour space data；And data processing module, analyze the colorspace data with construction chroma data, saturation data with it is bright
Brightness data；Data computation module analyzes the chroma data group, the saturation data group and the brightness data respectively
Whether group meets the corresponding preset threshold range of each data group, to determine whether to exist abnormal picture.
In the embodiment of the application, the conversion module is to be converted to the pixel primary color data of the picture data
The colorspace data, the colorspace data are HSV.
In the embodiment of the application, the pixel in the picture data includes red pixel, green pixel and blue picture
Element.
In the embodiment of the application, the data processing module is by the colorspace data with the shape of pixel coordinate
Formula is built into the chroma data, the saturation data and the brightness data respectively.
In the embodiment of the application, the data computation module shows the abnormal picture in the form of pixel coordinate
In bad position.
The another object of the application is to provide a kind of detection system for showing picture, comprising: measured panel is shown to be measured
Picture；Photographic device shoots the picture to be measured to obtain picture data；And processing terminal, connect the photographic device with
The picture data is obtained, it includes: detection module that the processing is auspicious eventually, detects the picture data；Conversion module, described in conversion
Picture data is to obtain its corresponding colorspace data；Data processing module analyzes the colorspace data with construction color
Spend data group, saturation data group and brightness data group；Data computation module analyzes the chroma data group, the saturation
Whether degree data group and the brightness data group meet the corresponding preset threshold range of each data group, to determine whether that there are different
Normal picture；Wherein, the chroma data is the colorimetric parameter set that multiple colorimetric parameters are formed, and the multiple colorimetric parameter is corresponding
The pixel coordinate of the picture data；The saturation data is the saturation parameters set that multiple saturation parameters are formed,
The multiple saturation parameters correspond to the pixel coordinate of the picture data；And the brightness data are multiple bright
The brightness parameters set that parameter is formed is spent, the multiple brightness parameters correspond to the pixel coordinate of the picture data；Its
In, when the processing terminal determines that the test pictures are deposited when abnormal, according to the colorimetric parameter set, saturation degree ginseng
Manifold, which is closed, obtains its corresponding pixel coordinate at least abnormal data in the brightness parameters set.
The application is in the production detection process of LCD (Liquid Crystal Display, liquid crystal display), according to pre-
If threshold range, to determine the test pictures with the presence or absence of exception, effective analytical judgment shows the abnormal position in picture,
And then improve the quality of the display picture of display panel, production efficiency is improved, time cost and cost of human resources is saved, is liquid
Technical problem urgently to be solved in brilliant display field.
Detailed description of the invention
It, below will be to use required in embodiment in order to illustrate more clearly of the technical solution of the present application embodiment
Attached drawing be briefly described, it should be understood that the following drawings illustrates only some embodiments of the present application, therefore should not be by
Regard the restriction to range as, for those of ordinary skill in the art, without creative efforts, may be used also
To obtain other relevant attached drawings according to these attached drawings.
Fig. 1 is the structural schematic diagram that exemplary liquid crystal display shows picture automatic detection device；
The step of Fig. 2 is the detection method of the display picture in one embodiment of the application is schemed；
Fig. 3 is the threshold value extracting method figure of the display picture detection method in one embodiment of the application；
Fig. 4 is the detection system structure distribution figure of the display picture of one embodiment of the present application.
Specific embodiment
The explanation of following embodiment is to can be used to the particular implementation of implementation to illustrate the application with reference to additional schema
Example.The direction term that the application is previously mentioned, such as "upper", "lower", "front", "rear", "left", "right", "inner", "outside", " side "
Deng being only the direction with reference to annexed drawings.Therefore, the direction term used be to illustrate and understand the application, rather than to
Limit the application.
Attached drawing and explanation are considered inherently illustrative, rather than restrictive.The similar list of structure in the figure
Member is to be given the same reference numerals.In addition, in order to understand and be convenient for description, the size and thickness of each component shown in the accompanying drawings are
It is arbitrarily shown, but the application is without being limited thereto.
In the accompanying drawings, for clarity, the thickness in layer, film, panel, region etc. is exaggerated.In the accompanying drawings, in order to understand
With convenient for description, the thickness of some layer and region is exaggerated.It will be appreciated that ought such as layer, film, region or substrate component quilt
Referred to as " " another component "upper" when, the component can be directly on another component, or there may also be middle groups
Part.
In addition, in the description, unless explicitly described as opposite, otherwise word " comprising " will be understood as meaning to wrap
The component is included, but is not excluded for any other component.In addition, in the description, " above " means to be located at target group
Part either above or below, and be not intended to must be positioned on the top based on gravity direction.
Further to illustrate that the application is the technical means and efficacy reaching predetermined goal of the invention and being taken, below in conjunction with
Attached drawing and specific embodiment, to a kind of pixel framework and display device proposed according to the present application, specific implementation
Mode, structure, feature and its effect, detailed description is as follows.
Fig. 1 is the structural schematic diagram that exemplary liquid crystal display shows picture automatic detection device；As shown in Fig. 1, the liquid
Crystalline substance screen automatic detection device includes measured panel 101, photographic device 102 and microprocessor 103.
It the purpose of the application and solves its technical problem and adopts the following technical solutions to realize.If Fig. 2 is painted, Fig. 2
For the display picture in one embodiment of the application detection method the step of scheme.A kind of display picture that foundation the application proposes
Detection method, comprising the following steps: step S201: test pictures are shown by measured panel；Step S202: pass through photographic device
The test pictures are shot to obtain picture data；Step S203: the picture data is converted to obtain it by processing terminal
Corresponding colorspace data；Step S204: the colorspace data is analyzed with construction coloration number by the processing terminal
According to, saturation data and brightness data；Step S205: pass through the analysis chroma data of processing terminal difference, institute
State whether saturation data and the brightness data meet the corresponding preset threshold range of each data, to determine the test picture
Face is with the presence or absence of abnormal；In the present embodiment, which improves production efficiency, improves the matter of the display picture of display panel
Amount, has saved time cost and cost of human resources.
In the embodiment of the application, the picture data is converted to colorspace data, is by the picture data
In pixel RGB be converted to HSV, conversion formula is as follows:
Max=max (R, G, B)
Min=min (R, G, B)
If R=max, H=(G-B)/(max-min)
If G=max, H=2+ (B-R)/(max-min)
If B=max, H=4+ (R-G)/(max-min)
H=H*60
If H < 0, H=H+360
V=max (R, G, B)
S=(max-min)/max
Wherein, R indicates that red pixel, G indicate that green pixel, B indicate blue pixel, and H indicates coloration, i.e. locating spectrum
Color position；S is saturation degree, and range is from 0 to 1；V indicates the light levels of color, and range is from 0 to 1.
In the embodiment of the application, pixel RGB is converted to HSV, wherein when the value of pixel R is greater than pixel G and pixel
It is first poor to carrying out making between pixel G and pixel B when B, and carried out between the maximum value and minimum value of pixel group (R, G, B)
It is poor to make, and the value of coloration H is equal to the ratio of the difference between the difference between pixel G and pixel B and pixel group maximum value and minimum value
Value；The value of the light levels V of color is equal to the maximum value of pixel group (R, G, B)；The value of saturation degree S is equal to pixel group (R, G, B)
Maximum value, the difference between minimum value and maximum value ratio；Further, it is converted between pixel RGB and HSV, table
The value of bright H, S, V are positive number, and improve the accuracy of the preset threshold of each data group.
In the embodiment of the application, the chroma data is the colorimetric parameter set that multiple colorimetric parameters are formed, institute
The pixel coordinate that multiple colorimetric parameters correspond to the picture data is stated, the pixel coordinate of the picture data can be used for analyzing
Position indicating when the colorimetric parameter situation, but not limited to this.
In the embodiment of the application, the saturation data is the saturation parameters collection that multiple saturation parameters are formed
It closes, the multiple saturation parameters correspond to the pixel coordinate of the picture data, and the pixel coordinate of the picture data can
For analyzing the position indicating when saturation parameters situation, but not limited to this.
In the embodiment of the application, the brightness data are the brightness parameters collection that multiple brightness parameters are formed
It closes, the multiple brightness parameters correspond to the pixel coordinate of the picture data, and the pixel coordinate of the picture data can
For analyzing the position indicating when brightness parameters situation, but not limited to this.
In the embodiment of the application, when the processing terminal determines that the test pictures are deposited when abnormal, according to institute
At least abnormal data stated in colorimetric parameter set, the saturation parameters set and the brightness parameters set obtains it
Corresponding pixel coordinate, the data computation module further carry out calculating analysis to the exception in test pictures, by picture
Middle abnormal data value is compared with preset threshold, obtains difference, to carry out repairing processing procedure in next step.
Fig. 3 is the threshold value extracting method figure of the display picture detection method in one embodiment of the application, the one of the application
In embodiment, before described the step of showing test pictures by measured panel, preset threshold range described in construction is further included,
It is the following steps are included: S301 shows multiple sample pictures by sample panel；S302 passes through described in photographic device shooting
Multiple sample pictures are to obtain multiple sample datas；S303 converts the multiple sample data by the processing terminal to obtain
Its corresponding multiple color space sample data；S304 analyzes the multiple color space sample number by the processing terminal
Construction chroma sample data group, saturation degree sample data group and brightness sample data group accordingly；S305 is whole by the processing
Hold the acquirement respectively from the chroma sample data group, the saturation degree sample data group and the brightness sample data group
The majority parameter value of data group out of the ordinary, with preset threshold range described in construction.
In the embodiment of the application, the extracting method of the threshold value are as follows: H1={ H11H12...Hnm }, wherein with
The upper distribution for first panel H, n represent the row of panel, and m represents the column of panel；The threshold range includes upper limit threshold under
Limit threshold value, the upper limit threshold H_H=max (H1, H2, H3...Hx) of the lower threshold H_L=min (H1, H2, H3...Hx) of H, H,
X is quantity of sampling quantity.
In the embodiment of the application, the preset threshold range includes upper limit threshold and lower threshold, wherein described
The upper limit threshold of chroma data is the maximum value in chroma data group, and the lower threshold of the chroma data is in chroma data group
Minimum value.
In the embodiment of the application, the preset threshold range includes upper limit threshold and lower threshold, wherein described
The upper limit threshold of saturation data is the maximum value in saturation data group, and the lower threshold of the saturation data is saturation degree
Minimum value in data group.
In the embodiment of the application, the preset threshold range includes upper limit threshold and lower threshold, wherein described
The upper limit threshold of brightness data is the maximum value in brightness data group, and the lower threshold of the brightness data is brightness
Minimum value in data group.
Fig. 4 is the detection system structure distribution figure of the display picture of one embodiment of the present application, the another mesh of the application
Be provide it is a kind of show picture detection system, as shown in Figure 4, comprising: measured panel 101, for show test picture
Face；Photographic device 102 shoots the test pictures to take picture data；And processing terminal 103, connect the photographic device
To obtain the picture data, it includes: conversion module 104 that the processing is auspicious eventually, converts the picture data to obtain its correspondence
Colorspace data；And data processing module 105, the colorspace data is analyzed with construction chroma data, saturation degree
Data and brightness data；Data computation module 106 analyzes the chroma data group, the saturation data group and institute respectively
State whether brightness data group meets the corresponding preset threshold range of each data group clearly, to determine whether to exist abnormal picture；At this
In embodiment, which improves the production efficiency of procedure for producing, the effective abnormal ginseng analyzed and determined in display picture
Several positions, and marked in the form of pixel coordinate, and then improve the quality of the display picture of display panel, save the time
Cost and cost of human resources.
In the embodiment of the application, the conversion module is to be converted to the pixel primary color data of the picture data
The colorspace data, the colorspace data are HSV.
In the embodiment of the application, the pixel in the picture data includes red pixel, green pixel and blue picture
Element, but not limited to this.
In the embodiment of the application, the data processing module is by the colorspace data with the shape of pixel coordinate
Formula is built into the chroma data, the saturation data and the brightness data respectively.
In the embodiment of the application, the data computation module shows the abnormal picture in the form of pixel coordinate
In bad position.
The another object of the application is to provide a kind of detection system for showing picture, including measured panel, photographic device
And processing terminal；Measured panel is for showing picture to be measured, and photographic device is for shooting the picture to be measured to obtain picture
Data, processing terminal is for connecting the photographic device to obtain the picture data；Wherein the processing terminal includes detection
Module, conversion module, data processing module and data computation module；Specifically, detection module is for detecting the frame numbers
According to conversion module obtains its corresponding colorspace data for converting the picture data, and data processing module is for dividing
The colorspace data is analysed with construction chroma data group, saturation data group and brightness data group, data computation module is used
It is corresponding in analyzing the chroma data group, the saturation data group with the brightness data group and whether meeting each data group
Preset threshold range, to determine whether to exist abnormal picture；Wherein, the chroma data is the coloration that multiple colorimetric parameters are formed
Parameter sets, the multiple colorimetric parameter correspond to the pixel coordinate of the picture data；The saturation data is multiple full
The saturation parameters set formed with degree parameter, the multiple saturation parameters correspond to the pixel coordinate of the picture data；
And the brightness data are the brightness parameters set that multiple brightness parameters are formed, the multiple brightness parameters pair
Answer the pixel coordinate of the picture data；Wherein, when the processing terminal determines that the test pictures are deposited when abnormal, foundation
The colorimetric parameter set, the saturation parameters set and the abnormal data in the brightness parameters set and to obtain its right
The pixel coordinate answered.
The application provides a kind of detection method and its detection system for showing picture, improves the production of procedure for producing
Efficiency, the effective position for analyzing and determining the anomaly parameter in display picture, and marked in the form of pixel coordinate, Jin Ergai
The quality of the display picture of kind display panel, has saved time cost and cost of human resources and other effects.
" in some embodiments " and " in various embodiments " terms are used repeatedly etc..The term is not usually
Refer to identical embodiment；But it may also mean that identical embodiment.The words such as "comprising", " having " and " comprising " are synonymous
Word, unless its context meaning shows other meanings.
The above is only the embodiment of the present application, not makes any form of restriction to the present patent application, though
So the present invention is disclosed above with specific embodiment, and however, it is not intended to limit the invention, any technology for being familiar with this profession
Personnel, without departing from the scope of the present invention, when the technology contents using the disclosure above make a little change or repair
Decorations are the equivalent embodiment of equivalent variations, but anything that does not depart from the technical scheme of the invention content, technology according to the present invention are real
Matter any simple modification, equivalent change and modification to the above embodiments, still fall within the present patent application technical solution
In range.
Claims (10)
1. a kind of detection method for showing picture, which comprises the following steps:
Test pictures are shown by measured panel；
The test pictures are shot by photographic device to obtain picture data；
The picture data is converted by processing terminal to obtain its corresponding colorspace data；
The colorspace data is analyzed by the processing terminal with construction chroma data, saturation data and bright degree
According to；
Analyze whether the chroma data, the saturation data and the brightness data accord with respectively by the processing terminal
The corresponding preset threshold range of each data is closed, to determine the test pictures with the presence or absence of abnormal.
2. a kind of detection method for showing picture as described in claim 1, which is characterized in that the chroma data is multiple colorations
The colorimetric parameter set that parameter is formed, multiple colorimetric parameters correspond to the coordinate of the pixel of the picture data；It is described full
With degree according to the saturation parameters set for being the formation of multiple saturation parameters, multiple saturation parameters correspond to the frame numbers
According to pixel coordinate；The brightness data are the brightness parameters set that multiple brightness parameters are formed, multiple described
Brightness parameters correspond to the pixel coordinate of the picture data.
3. a kind of detection method for showing picture as claimed in claim 2, which is characterized in that described in determining when the processing terminal
Test pictures are deposited when abnormal, according to the colorimetric parameter set, the saturation parameters set and the brightness parameters collection
An at least abnormal data in conjunction obtains its corresponding pixel coordinate.
4. a kind of detection method for showing picture as described in claim 1, which is characterized in that described shown by measured panel is surveyed
Before the step of trying picture, further includes the sample data for obtaining sample picture, carry out preset threshold range described in construction, construct institute
The step of stating preset threshold range include:
Multiple sample pictures are shown by sample panel；
Multiple sample pictures are shot by the photographic device to obtain multiple sample datas；
Multiple sample datas are converted by the processing terminal to obtain its corresponding multiple color space sample data；
Multiple color space sample datas are analyzed by the processing terminal with construction chroma sample data group, saturation degree sample
Notebook data group and brightness sample data group；
By obtaining the processing terminal respectively from the chroma sample data group, the saturation degree sample data group and being stated clearly
Corresponding most parameter values in luma samples data group, with preset threshold range described in construction.
5. a kind of detection method for showing picture as claimed in claim 4, which is characterized in that the preset threshold range includes upper
Threshold value and lower threshold are limited, the upper limit threshold is the maximum value in corresponding data group, and the lower threshold is corresponding number
According to the minimum value in group.
6. a kind of detection system for showing picture, comprising:
Measured panel shows test pictures；
Photographic device shoots the test pictures to take picture data；And
Processing terminal connects the photographic device to obtain the picture data；
Wherein, the processing terminal includes:
Conversion module converts the picture data to obtain its corresponding colorspace data；
Data processing module analyzes the colorspace data with construction chroma data, saturation data and brightness data；
Data computation module analyzes whether chroma data group, saturation data group and brightness data group meet each data respectively
The corresponding preset threshold range of group, to determine whether to exist abnormal picture.
7. a kind of detection system for showing picture as claimed in claim 6, which is characterized in that the conversion module, being will be described
The pixel primary color data of picture data is converted to the colorspace data, and the colorspace data is HSV.
8. a kind of detection system for showing picture as claimed in claim 6, which is characterized in that the data processing module will be described
Colorspace data is built into the chroma data respectively in the form of pixel coordinate, the saturation data becomes clear with described
Degree evidence.
9. a kind of detection system for showing picture as claimed in claim 6, which is characterized in that the data computation module is with pixel
The form of point coordinate shows the bad position in the abnormal picture.
10. a kind of detection system for showing picture, comprising:
Measured panel shows picture to be measured；
Photographic device shoots the picture to be measured to obtain picture data；And
Processing terminal connects the photographic device to obtain the picture data；
Wherein, the processing terminal includes:
Detection module detects the picture data；
Conversion module converts the picture data to obtain its corresponding colorspace data；
Data processing module analyzes the colorspace data with construction chroma data group, saturation data group and bright degree
According to group；And
Data computation module, analyzes whether the chroma data group, the saturation data group and the brightness data group accord with
The corresponding preset threshold range of each data group is closed, to determine whether to exist abnormal picture；
Wherein, the chroma data is the colorimetric parameter set that multiple colorimetric parameters are formed, and multiple colorimetric parameters correspond to institute
State the pixel coordinate of picture data；The saturation data is the saturation parameters set that multiple saturation parameters are formed, more
A saturation parameters correspond to the pixel coordinate of the picture data；
The brightness data are the brightness parameters set that multiple brightness parameters are formed, and multiple brightness parameters are corresponding
The pixel coordinate of the picture data；
Wherein, when the processing terminal determines that the test pictures are deposited when abnormal, according to the colorimetric parameter set, described full
Its corresponding pixel coordinate is obtained with degree parameter sets with the abnormal data in the brightness parameters set.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811572111.4A CN109856824B (en) | 2018-12-21 | 2018-12-21 | Display picture detection method and detection system thereof |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811572111.4A CN109856824B (en) | 2018-12-21 | 2018-12-21 | Display picture detection method and detection system thereof |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN109856824A true CN109856824A (en) | 2019-06-07 |
| CN109856824B CN109856824B (en) | 2022-05-17 |
Family
ID=66891815
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811572111.4A Active CN109856824B (en) | 2018-12-21 | 2018-12-21 | Display picture detection method and detection system thereof |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109856824B (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110109274A (en) * | 2019-06-11 | 2019-08-09 | 江苏毅昌科技有限公司 | A kind of the picture detection device and method of liquid crystal display |
| CN110942031A (en) * | 2019-11-27 | 2020-03-31 | 上海米哈游网络科技股份有限公司 | Game picture abnormity detection method and device, electronic equipment and storage medium |
| CN112559341A (en) * | 2020-12-09 | 2021-03-26 | 上海米哈游天命科技有限公司 | Picture testing method, device, equipment and storage medium |
| CN112735317A (en) * | 2020-12-31 | 2021-04-30 | 绵阳惠科光电科技有限公司 | Control circuit and display device |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103024434A (en) * | 2012-12-20 | 2013-04-03 | 广州视源电子科技股份有限公司 | Automatic test system based on image matching |
| CN103544715A (en) * | 2013-09-29 | 2014-01-29 | 广东工业大学 | Segmentation method for color images of printed circuit board microsection |
| CN108053381A (en) * | 2017-12-22 | 2018-05-18 | 深圳创维－Rgb电子有限公司 | Dynamic tone mapping method, mobile terminal and computer readable storage medium |
| CN108844966A (en) * | 2018-07-09 | 2018-11-20 | 广东速美达自动化股份有限公司 | A kind of screen detection method and detection system |
-
2018
- 2018-12-21 CN CN201811572111.4A patent/CN109856824B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103024434A (en) * | 2012-12-20 | 2013-04-03 | 广州视源电子科技股份有限公司 | Automatic test system based on image matching |
| CN103544715A (en) * | 2013-09-29 | 2014-01-29 | 广东工业大学 | Segmentation method for color images of printed circuit board microsection |
| CN108053381A (en) * | 2017-12-22 | 2018-05-18 | 深圳创维－Rgb电子有限公司 | Dynamic tone mapping method, mobile terminal and computer readable storage medium |
| CN108844966A (en) * | 2018-07-09 | 2018-11-20 | 广东速美达自动化股份有限公司 | A kind of screen detection method and detection system |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110109274A (en) * | 2019-06-11 | 2019-08-09 | 江苏毅昌科技有限公司 | A kind of the picture detection device and method of liquid crystal display |
| CN110109274B (en) * | 2019-06-11 | 2022-04-12 | 江苏毅昌科技有限公司 | Picture detection device and method for liquid crystal display screen |
| CN110942031A (en) * | 2019-11-27 | 2020-03-31 | 上海米哈游网络科技股份有限公司 | Game picture abnormity detection method and device, electronic equipment and storage medium |
| CN110942031B (en) * | 2019-11-27 | 2023-07-04 | 上海米哈游网络科技股份有限公司 | Game picture abnormality detection method and device, electronic equipment and storage medium |
| CN112559341A (en) * | 2020-12-09 | 2021-03-26 | 上海米哈游天命科技有限公司 | Picture testing method, device, equipment and storage medium |
| CN112735317A (en) * | 2020-12-31 | 2021-04-30 | 绵阳惠科光电科技有限公司 | Control circuit and display device |
Also Published As
| Publication number | Publication date |
|---|---|
| CN109856824B (en) | 2022-05-17 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109856824A (en) | A kind of detection method and its detection system showing picture | |
| CN104749184B (en) | Automatic optical detection method and system | |
| CN102158727B (en) | Method and system for detecting color reducibility of camera of mobile phone | |
| CN101882315B (en) | The detection method of area of skin color | |
| US9805458B2 (en) | Method and system for detecting defective pixels and screen imperfections of a mobile device | |
| US11150498B2 (en) | Detection method and device of display panel and automatic optic inspection apparatus | |
| CN109887044B (en) | Reproductive data evaluation method and system | |
| CN110458803A (en) | Frame image color cast and brightness detection method and device based on colored ribbon calibration | |
| CN102088539B (en) | Method and system for evaluating pre-shot picture quality | |
| CN106412575B (en) | Detect the method and device of display | |
| CN109459136B (en) | Method and device for measuring chromaticity | |
| WO2018113050A1 (en) | Drive method and drive apparatus of display panel | |
| CN101452122B (en) | LCD displaying effect detection device and method | |
| WO2017057926A1 (en) | Display device and method for controlling same | |
| US20160153916A1 (en) | Method for inspecting screen | |
| CN106652898B (en) | LED shows pointwise correction method | |
| US9036030B2 (en) | Color calibration of an image capture device in a way that is adaptive to the scene to be captured | |
| US9978338B2 (en) | Method and system of showing colors for mosaic display device | |
| WO2023151210A1 (en) | Image processing method, electronic device and computer-readable storage medium | |
| CN114693656A (en) | Method for detecting display defects of LED display screen and method for calibrating camera and optical filter | |
| TW201112740A (en) | Camera module and testing mothod thereof | |
| CN108803097A (en) | The detection method and detection device of pixel dark-state light leakage | |
| CN116092423A (en) | Color correction method and device for display panel | |
| CN101571449A (en) | Device and method for testing screen color level | |
| CN113012607A (en) | Display module detection method, device and system |
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 |