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A display defect detection method and device based on human visual characteristics

A technology for human vision and defect detection, applied in image analysis, image enhancement, instruments, etc., can solve the problem of inaccurate detection of weak stripe C-stain defects, and achieve the effect of improving accuracy

Active Publication Date: 2021-06-18
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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  • A display defect detection method and device based on human visual characteristics
  • A display defect detection method and device based on human visual characteristics
  • A display defect detection method and device 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

This application provides a display screen defect detection method and device based on the visual characteristics of the human eye. The method acquires the display screen image to be detected; uses the contrast sensitivity function of the human eye to create a frequency domain filter kernel; performs Fourier leaf transformation to obtain the transformed screen image to be detected; use the frequency domain filter kernel to filter the transformed display screen image to be detected to obtain the filtered screen image to be detected; perform Fourier on the filtered screen display image Liye inverse transformation to obtain the target display screen image; according to the target display screen image, calculate the segmentation threshold according to the preset algorithm; according to the segmentation threshold, segment the target display screen image to obtain multiple display screen sub-images; The sub-images of the display screen are screened to obtain the defect image of the display screen. Using the contrast sensitivity function of the human eye, a frequency-domain filter kernel is created, so that the obtained defect image conforms to the visual characteristics of the human eye, and the accuracy of the detection result is improved.

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 Patents(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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