Method and a device for detecting defects of a display screen based on human visual characteristics

A technology of human vision and defect detection, which is applied in image data processing, instruments, calculations, etc., can solve the problem of inaccurate detection of weak strip C pollution defects, and achieve the effect of improving accuracy

Active Publication Date: 2019-02-15
BEIJING LUSTER LIGHTTECH
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Problems solved by technology

[0004] This application provides a display screen defect detection method and device based on the visual characteristics of the human eye to solve the problem of inaccurate detection of weak strip C contamination defects in existing display screen detection methods

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  • Method and a device for detecting defects of a display screen based on human visual characteristics
  • Method and a device for detecting defects of a display screen based on human visual characteristics
  • Method and a device for detecting defects of a display screen based on human visual characteristics

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Embodiment Construction

[0033] This application is mainly aimed at the detection of the weak strip C stain defect of the display screen. The weak strip C stain defect is a strip defect with darker brightness when the background color of the display screen is white. The defect can be along the horizontal direction. Or exist in the vertical direction.

[0034] First, see figure 1 , the present application provides a display defect detection method based on human visual characteristics, comprising the following steps:

[0035] Step 101: Obtain an image of the display screen to be detected.

[0036] Step 102: Using the human eye contrast sensitivity function, create a frequency domain filter kernel.

[0037] Due to the unique visual characteristics of the human eye, the human eye responds differently to different spatial frequencies, and the contrast sensitivity function of the human eye is introduced to create a frequency domain filter kernel. Contrast sensitivity CS (contrast sensitivity) is defined...

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Abstract

The invention provides a method and a device for detecting defects of a display screen based on human visual characteristics. The method acquires an image of a display screen to be detected. Frequencydomain filter kernel is created by using human eye contrast sensitivity function. Fourier transform is performed on that screen image to be detected to obtain the transformed screen image to be detected; The frequency domain filter kernel is used to filter the transformed display screen image to obtain the filtered display screen image. The frequency domain filter kernel is used to filter the transformed display screen image to obtain the filtered display screen image. Inverse Fourier transform is performed on the filtered screen display image to obtain a target display screen image; According to the image of the target display screen, the segmentation threshold is calculated according to the preset algorithm. According to the segmentation threshold, segmenting the target display screen image to obtain a plurality of display screen sub-images; All the sub-images of the display screen are screened to obtain the defect image of the display screen. Using the human eye contrast sensitivity function, a frequency domain filter kernel is created to make the defect image accord with the human eye visual characteristics and improve the accuracy of the detection results.

Description

technical field [0001] The present application relates to the field of display screen detection, and in particular to a display screen defect detection method and device based on human visual characteristics. Background technique [0002] Due to the advantages of high resolution, high brightness and no geometric deformation, flat panel displays are widely used in consumer electronic products that people use daily, such as televisions and computers. However, due to the increasing area of ​​the display screen and the complicated manufacturing process, it is inevitable that some defects, such as spots or dirt, will appear during the manufacturing process. Therefore, display defect detection is an important link for display manufacturers to ensure the quality of shipments. [0003] At present, the method of display defect detection is AOI equipment detection method. The visual processing system is used to automatically scan the screen of the display screen to be tested, and aft...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/11G06T7/136
CPCG06T7/0004G06T2207/20024G06T2207/20048G06T2207/30121G06T7/11G06T7/136
Inventor 马增婷姚毅时广军
Owner BEIJING LUSTER LIGHTTECH
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