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Liquid crystal screen backlight foreign matter defect detection method based on computer vision

A computer vision and defect detection technology, applied in the direction of optical testing defects/defects, optics, measuring devices, etc., can solve the problems of extremely high cleanliness requirements, inconvenient use, and high detection costs

Pending Publication Date: 2020-07-31
深圳市斑马视觉科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In order to avoid the interference of foreign matter on the surface of the protective film, it is necessary to tear off the protective film during the test, and then use the laminating machine to apply the film again after the test is completed. very high, inconvenient to use

Method used

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  • Liquid crystal screen backlight foreign matter defect detection method based on computer vision
  • Liquid crystal screen backlight foreign matter defect detection method based on computer vision
  • Liquid crystal screen backlight foreign matter defect detection method based on computer vision

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Embodiment Construction

[0069] The technical solutions 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. Obviously, the described embodiments are only a part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0070] like figure 1 As shown, the embodiment of the present invention provides a computer vision-based liquid crystal screen backlight foreign body defect detection method, which includes: image acquisition, screen area extraction, Gabor filtering, backlight foreign body candidate area determination, and screen surface foreign body screening. The computer vision-based liquid crystal screen backlight foreign object defect detection me...

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PUM

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Abstract

The invention discloses a liquid crystal screen backlight foreign matter defect detection method based on computer vision. The method comprises the steps of image acquisition in a lighted state and anon-lighted state, screen area extraction based on a fixed threshold method, image texture filtering based on a Gabor filter, backlight foreign matter candidate area determination and screen surface foreign matter screening. According to the liquid crystal screen backlight foreign matter defect detection method based on computer vision, interference of foreign matters, scratches, defects and the like on the protective film on screen backlight foreign matter detection can be removed under the condition that the protective film is not removed.

Description

technical field [0001] The invention relates to the field of automatic optical defect detection for products in the liquid crystal module production industry, in particular to a computer vision-based liquid crystal screen backlight foreign body defect detection method. Background technique [0002] With the development of the information industry, the demand for LCD screens is also rising. On the one hand, people have stricter control over the quality of LCD screens; on the other hand, the intensity of competition in the industry is also increasing day by day, and it becomes particularly important to improve production efficiency and product quality and reduce production costs. However, the production process of LCD screens is extremely complicated, and the requirements for the production environment are also very strict. Under the current screen production process, the existence of defects is unavoidable, so it is very necessary and critical to carry out strict inspection ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/88G01N21/95G02F1/13
CPCG01N21/95G01N21/8851G02F1/1309G01N2021/9513G01N2021/8887
Inventor 曹永照马忠强何为黄先齐宫俊
Owner 深圳市斑马视觉科技有限公司
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