CN109472775A - Display periphery detection system and its method - Google Patents

Display periphery detection system and its method Download PDF

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Publication number
CN109472775A
CN109472775A CN201811199956.3A CN201811199956A CN109472775A CN 109472775 A CN109472775 A CN 109472775A CN 201811199956 A CN201811199956 A CN 201811199956A CN 109472775 A CN109472775 A CN 109472775A
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CN
China
Prior art keywords
display
measured
panel
neighboring area
image processing
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Pending
Application number
CN201811199956.3A
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Chinese (zh)
Inventor
赵永超
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TCL China Star Optoelectronics Technology Co Ltd
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Shenzhen China Star Optoelectronics Technology Co Ltd
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Priority to CN201811199956.3A priority Critical patent/CN109472775A/en
Publication of CN109472775A publication Critical patent/CN109472775A/en
Pending legal-status Critical Current

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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/0002Inspection of images, e.g. flaw detection
    • G06T7/0004Industrial image inspection
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30108Industrial image inspection
    • G06T2207/30121CRT, LCD or plasma display
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30168Image quality inspection

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  • Engineering & Computer Science (AREA)
  • Quality & Reliability (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Testing Of Optical Devices Or Fibers (AREA)

Abstract

A kind of panel detection technology is provided, especially a kind of display periphery detection system, the system comprises: a capture component, the measured panel image of the neighboring area to capture a display to be measured;And image processing modules, to detect the measured panel image;Wherein described image processing component judges whether the neighboring area of the display to be measured has a light source unevenness region according to the measured panel image, improves the accuracy for judging the degree of display neighboring area light source unevenness.Method using display neighboring area described in the system detection is also provided.

Description

Display periphery detection system and its method
Technical field
This announcement is related to panel detection technical field more particularly to a kind of display periphery detection system and its method.
Background technique
Competition in display industry in recent years, consumer are higher and higher to the quality requirement of panel, and The phenomenon that some liquid crystal uneven (mura) that present panel product often occurs on the periphery of panel, influence the entire display of panel Quality.Mura refers to the phenomenon that display brightness unevenly causes various traces, and simplest judgment method is just to switch to black Then color picture and other grey menus detect from a variety of different angles.Such as shown in Figure 1, existing panel Carry out reliability test and the aging of high temperature and humidity (High Temperature with High Humidity, HTHH) (aging) after test action, the liquid crystal unevenness situation of neighboring area appearance.The phenomenon of periphery liquid crystal unevenness is predominantly close Four side peripheral edge margins 3 of the frame 2 of panel 1 have the obvious liquid crystal unevenness region 5 different with 4 brightness of central area, there is bright phase Between ripple glaze, according to severity difference, liquid crystal unevenness region 5 is generally at 0-5 millimeters.Industry is sentenced mostly with artificial detection at present The severity of the peripheral edge margin 3 liquid crystal unevenness of sectional board 1 is mainly determined by human eye, but testing staff is possible to generate The problems such as erroneous judgement, fatigue, subjective identification benchmark are inconsistent or cannot detect for a long time, will lead to and determine that result accuracy is not too Height can cause to judge by accident to the judgement of panel quality.
Therefore, it is necessary to provide a kind of display periphery detection system and method, human eye caused by testing staff is overcome It is not easy judgement and human eye judges misalignment problem.
Summary of the invention
In order to solve the above-mentioned technical problem, this announcement replaces artificial detection with the detection system that standardizes, automate, can be with Overcome human eye caused by testing staff be not easy judgement and human eye judge misalignment problem.
In order to achieve the above object, this announcement provides a kind of display periphery detection system, comprising: a capture component is used To capture the measured panel image of a neighboring area of a display to be measured;One image processing modules couple the capture component, To detect the measured panel image;And a transmission assembly, couple the capture component and described image processing and output Component transmits the measured panel image to described image processing component;Wherein described image processing component is according to described to be measured Panel image judges whether the neighboring area of the display to be measured has a light source unevenness region.
According to an embodiment of display periphery described herein detection system, the capture component is a single-lens reflex camera equipment.
According to an embodiment of display periphery described herein detection system, the single-lens reflex camera equipment and the display to be measured One spacing of device is the range in 50 centimetres to 150 centimetres.
According to an embodiment of display periphery described herein detection system, described image processing component includes one Matlab software.
According to an embodiment of display periphery described herein detection system, the display to be measured include a panel with Around a frame of panel setting, the neighboring area be 20 centimetres of inside edge of the panel apart from the frame with Interior region.
In order to achieve the above object, this announcement separately provides a kind of display periphery detection method, utilizes above-described Display periphery detection system detects a neighboring area of the display.The display periphery detection method of this announcement includes: The measured panel image of the neighboring area of a display to be measured is captured using a capture component;Using described in transmission assembly transmission Measured panel image is to an image processing modules;And institute is judged according to the measured panel image using an image processing modules Whether the neighboring area for stating display to be measured has a light source unevenness region.
According to an embodiment of display periphery described herein detection method, the capture component is a single-lens reflex camera equipment.
According to an embodiment of display periphery described herein detection method, the one of the single-lens reflex camera equipment and the panel Spacing is the range in 50 centimetres to 150 centimetres.
According to an embodiment of display periphery described herein detection method, described image processing and output precision include One matlab software.
According to an embodiment of display periphery described herein detection method, the display to be measured include a panel with Around a frame of panel setting, the neighboring area be 20 centimetres of inside edge of the panel apart from the frame with Interior region.
The display periphery detection system and method that this announcement provides absorb the image of display by a capture component, The part for recycling image processing modules acquisition described image to be mapped in display neighboring area carries out detection differentiation, and generates one Testing result, such as a detection figure and/or a detected value, use and judge display quality display neighboring area brightness disproportionation Degree considers for integral panels, and can directly learn the quality good or not of integral panels by detection method, to avoid people Eye judges error caused by the degree of the brightness disproportionation of panel, improves the degree for judging display neighboring area brightness disproportionation Accuracy.In addition, also improving the speed for judging panel quality using the detection system of standardization, automation.
Detailed description of the invention
It, below will be to embodiment or the prior art in order to illustrate more clearly of embodiment or technical solution in the prior art Attached drawing needed in description is briefly described, it should be apparent that, the accompanying drawings in the following description is only some of invention Embodiment for those of ordinary skill in the art without creative efforts, can also be attached according to these Figure obtains other attached drawings.
Fig. 1 is the liquid crystal unevenness schematic diagram that existing panel periphery region occurs.
Fig. 2 is this announcement display periphery detecting system schematic diagram.
Fig. 3 is this announcement display periphery detection method schematic diagram.
Specific embodiment
The explanation of following embodiment is referred to the additional illustration, the particular implementation that can be used to implement to illustrate this announcement Example.The direction term that this announcement is previously mentioned, such as [on], [under], [preceding], [rear], [left side], [right side], [interior], [outer], [side] Deng being only the direction with reference to annexed drawings.Therefore, the direction term used be to illustrate and understand this announcement, rather than to Limit this announcement.The similar unit of structure is with being given the same reference numerals in the figure.
The realization process of detailed this announcement embodiment with reference to the accompanying drawing.
Referring to Fig. 2, it is the display periphery detection system 100 of this announcement, comprising: a capture component 10, to pick Take the measured panel image of a neighboring area 201 of a display 20 to be measured;One image processing modules 30 couple the capture group Part 10, to detect the measured panel image;And a transmission assembly 40, it couples at the capture component 10 and described image Component 30 is managed, transmits the measured panel image to described image processing component 30;Wherein 30 basis of described image processing component The measured panel image judge the display to be measured 20 the neighboring area 21 whether have a light source unevenness region and Judge the degree of light source unevenness.
In one embodiment, the capture component 10 is a single-lens reflex camera equipment.In different embodiments, the capture component can For a photosensory assembly, such as Charged Coupled Device (CCD) or Jin Yang compensated semiconductor (CMOS) photosensory assembly, taken to reach Picture.
In one embodiment, the distance between the single-lens reflex camera equipment and the display 20 to be measured are fixed.The list Anti- equipment and a spacing of the display 20 to be measured are the range in 50 centimetres to 150 centimetres.
In one embodiment, described image processing component 30 includes a matlab software, but not limited to this.At described image It manages component 30 and the measured panel image that capture component 10 exports is received by the transmission assembly 40.Also, described image processing group Part 30 carries out image procossing to panel image to be measured and is converted into the image judged for matlab software or other software, The image procossing that described image processing component 30 is carried out may include but be not limited to: 1. capture needed for the measured panel images into The part of row judgement;2. zooming in or out light source unevenness region;3. the detected light source unevenness region of mark;4. utilizing comparison Or light source unevenness region is emphasized by coloring;5. the degree etc. of light source unevenness in display light source unevenness region.
In addition, furthermore, the display 20 to be measured is including a panel 21 and around the one of panel setting Frame 22, the neighboring area 201 are the region within about 20 centimetres of inside edge of the panel 21 apart from the frame 22. And described image processing component 30 then goes to judge brightness disproportionation/light source not for the measured panel image of the neighboring area 201 The regions such as/luminance (luminance) exception and the discrimination standard according to the matlab software or other software go to judge The brightness disproportionation of the neighboring area 201 of the display to be measured 20/light source unevenness/luminance (luminance) exception degree.
The transmission assembly 40 can have storage and transmission data and information function for a transmission line, hard disk, cache etc. The component of energy.
It please refers to Fig. 3 and cooperates shown in Fig. 2, be the display periphery detection method schematic diagram of this announcement.This announcement A kind of display periphery detection method detects the display 20 using display described above periphery detection system 100 A neighboring area 201.The display periphery detection method of this announcement includes: step S1: capturing one using a capture component 10 The measured panel image of the neighboring area 201 of display 20 to be measured;Step S2: the tested surface is transmitted using a transmission assembly 40 Plate image is to an image processing modules 30;And step S3: sentenced using an image processing modules according to the measured panel image Whether the break neighboring area 201 of the display to be measured 20 has a light source unevenness region and judges light source unevenness area The one light source unevenness degree in domain.
In more detail, further include that a display 20 to be measured is provided before step S1, be disposed vertically the display to be measured Device 20 lights the panel switching grey menu of the display to be measured 20 and fixed panel in grey menu (general L48).In step It further include by capture component 10, such as a single-lens reflex camera equipment in rapid S1, setting is to the panel with the display 20 to be measured in mutual The alignment lens of single-lens reflex camera equipment, are needed the neighboring area 201 measured by vertical state configuration.Wherein, the single-lens reflex camera is set A standby spacing between the panel of the display to be measured is the range in 50 centimetres to 150 centimetres, to be appropriate for taking The distance of picture.
It upon step s 2, further include that the measured panel image for obtaining single-lens reflex camera equipment passes through the transmission assembly 40 It is sent to image processing modules 30.The image procossing that described image processing component 30 carries out the measured panel image, as above Described and repeat no more in this, image procossing is the portion for intercepting the neighboring area for needing the measured panel image corresponding panel Point, in general, the display 20 to be measured includes a panel 21 and the frame 22 around panel setting, the periphery Region 201 is the region within about 20 centimetres of inside edge of the panel 21 apart from the frame 22.The i.e. described neighboring area 201 include that 21 neighboring area of panel of 1 centimetre to 10 centimetres of selection obviously has the width in light source uneven phenomenon light source unevenness region Degree, and choose the width of 1 centimetre to 10 centimetres of normal region of 21 neighboring area of panel without light source uneven phenomenon, light The width in source unevenness region and the width of normal region be can identical also can be different, can be adjusted according to demand, it is then sharp Calculate and judge the light source unevenness area in the neighboring area 201 of the panel 21 with matlab software or other software Light source unevenness difference between domain and normal region.Finally, one testing result of output, such as a detection figure and/or a detected value, It uses and judges degree of the neighboring area 201 of the panel 21 compared to normal region brightness disproportionation.
The display periphery detection system and method that this announcement provides absorb the image of display by a capture component, The part for recycling image processing modules acquisition described image to be mapped in display neighboring area carries out detection differentiation, and generates one Testing result, such as a detection figure and/or a detected value, so that it is aobvious to judge display quality by the cooperation of computer hardware and software Show device neighboring area brightness disproportionation/light source unevenness degree, considers for integral panels, and can directly be obtained by detection method Know the quality good or not of integral panels, thus avoid human eye judge panel brightness disproportionation degree caused by error, improve Judge the accuracy of the degree of display neighboring area brightness disproportionation.In addition, also being mentioned using the detection system of standardization, automation The high speed for judging panel quality.
The above is the preferred embodiment of this announcement, it is noted that for those skilled in the art For, under the premise of not departing from this announcement principle, several improvements and modifications can also be made, these improvements and modifications are also considered as The protection scope of this announcement.

Claims (10)

1. a kind of display periphery detection system characterized by comprising
One capture component, the measured panel image of the neighboring area to capture a display to be measured;
One image processing modules couple the capture component, to detect the measured panel image;And
One transmission assembly couples the capture component and described image processing component, transmits the measured panel image to described Image processing modules;
Wherein described image processing component judges the neighboring area of the display to be measured according to the measured panel image Whether there is a light source unevenness region.
2. display periphery according to claim 1 detection system, which is characterized in that the capture component is that a single-lens reflex camera is set It is standby.
3. display periphery according to claim 2 detection system, which is characterized in that the single-lens reflex camera equipment with it is described to be measured One spacing of display is the range in 50 centimetres to 150 centimetres.
4. display periphery according to claim 1 detection system, which is characterized in that described image processing component includes one Matlab software.
5. display periphery according to claim 1 detection system, which is characterized in that the display to be measured includes one side Plate and the frame around panel setting, the neighboring area are 20 lis of inside edge of the panel apart from the frame Region within rice.
6. a kind of display periphery detection method characterized by comprising
The measured panel image of a neighboring area of a display to be measured is captured using a capture component;
The measured panel image is transmitted to an image processing modules using a transmission assembly;And
Judge that the neighboring area of the display to be measured is according to the measured panel image using an image processing modules It is no that there is a light source unevenness region.
7. display periphery according to claim 6 detection method, which is characterized in that the capture component is that a single-lens reflex camera is set It is standby.
8. display periphery according to claim 6 detection method, which is characterized in that the single-lens reflex camera equipment and the panel A spacing be 50 centimetres to 150 centimetres in a range.
9. display periphery according to claim 6 detection method, which is characterized in that described image processing and output precision Including a matlab software.
10. display periphery according to claim 6 detection method, which is characterized in that the display to be measured includes one Panel and the frame around panel setting, the neighboring area are inside edge 20 of the panel apart from the frame Region within centimetre.
CN201811199956.3A 2018-10-16 2018-10-16 Display periphery detection system and its method Pending CN109472775A (en)

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Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101140365A (en) * 2006-09-07 2008-03-12 株式会社东芝 Unevenness inspection method, method for manufacturing display panel, and unevenness inspection apparatus
US20100157044A1 (en) * 2008-12-24 2010-06-24 International Business Machines Corporation Non-Uniformity Evaluation Apparatus, Non-Uniformity Evaluation Method, and Display Inspection Apparatus and Program
CN103674975A (en) * 2013-09-09 2014-03-26 中华人民共和国四川出入境检验检疫局 Visual LCD (Liquid Crystal Display) Mura defect machine inspection method based on Gabor filtering and C-V (Chan-Vese) model segmentation
CN103869511A (en) * 2012-12-13 2014-06-18 乐金显示有限公司 Mura detection apparatus and method of display device
CN104160439A (en) * 2012-03-01 2014-11-19 日本麦可罗尼克斯股份有限公司 Display unevenness detection method and device for display device
CN106339196A (en) * 2016-08-31 2017-01-18 深圳市华星光电技术有限公司 Data compression and decompression method of DeMura table and Mura compensation method
CN107678192A (en) * 2017-07-16 2018-02-09 中科院成都信息技术股份有限公司 A kind of Mura defects detection method and system based on machine vision

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101140365A (en) * 2006-09-07 2008-03-12 株式会社东芝 Unevenness inspection method, method for manufacturing display panel, and unevenness inspection apparatus
US20100157044A1 (en) * 2008-12-24 2010-06-24 International Business Machines Corporation Non-Uniformity Evaluation Apparatus, Non-Uniformity Evaluation Method, and Display Inspection Apparatus and Program
CN104160439A (en) * 2012-03-01 2014-11-19 日本麦可罗尼克斯股份有限公司 Display unevenness detection method and device for display device
CN103869511A (en) * 2012-12-13 2014-06-18 乐金显示有限公司 Mura detection apparatus and method of display device
CN103674975A (en) * 2013-09-09 2014-03-26 中华人民共和国四川出入境检验检疫局 Visual LCD (Liquid Crystal Display) Mura defect machine inspection method based on Gabor filtering and C-V (Chan-Vese) model segmentation
CN106339196A (en) * 2016-08-31 2017-01-18 深圳市华星光电技术有限公司 Data compression and decompression method of DeMura table and Mura compensation method
CN107678192A (en) * 2017-07-16 2018-02-09 中科院成都信息技术股份有限公司 A kind of Mura defects detection method and system based on machine vision

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