Liquid crystal screen Mura defect detection method based on computer vision

A computer vision and defect detection technology, applied in computing, image data processing, instruments, etc., can solve problems such as visual fatigue, lack of consistency in inspection results, and missed inspections.

Pending Publication Date: 2020-08-21
深圳市斑马视觉科技有限公司
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  • Abstract
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Problems solved by technology

[0005] In view of the problems existing in the prior art, the main purpose of the present invention is to provide a method for detecting mura defects of liquid crystal screens based on computer vision, which aims to solve the problem of missing detec

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  • Liquid crystal screen Mura defect detection method based on computer vision
  • Liquid crystal screen Mura defect detection method based on computer vision
  • Liquid crystal screen Mura defect detection method based on computer vision

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Embodiment Construction

[0084] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0085] Such as figure 1 As shown, the embodiment of the present invention provides a method for detecting Mura defects of liquid crystal screens based on computer vision, and the detection steps include: image acquisition, region of interest extraction and viewing angle transformation, image texture filtering, image color space conversion, and Mura defect segmentation And secondary screening of defect segmentation area.

[0086] Step S1, image a...

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Abstract

The invention discloses a liquid crystal screen Mura defect detection method based on computer vision. The method comprises the following steps: acquiring an image at an inclined visual angle; extracting a region of interest based on a fixed threshold method and carrying out perspective transformation based on a perspective transformation method, image texture filtering based on a Gabor filter, image color space conversion, Mura defect segmentation based on a sliding window scanning mode of a dynamic change size and a self-adaptive double-threshold segmentation algorithm double mechanism, anddefect segmentation area secondary screening. According to the liquid crystal screen Mura defect detection method based on computer vision, the problems of missing detection and lack of consistency ofdetection results due to visual fatigue easily caused by long-time manual detection of Mura defects can be solved, the detection efficiency of the Mura defects is improved, and the consistency of thedetection results is ensured.

Description

technical field [0001] The invention relates to the field of automatic optical defect detection of products in the liquid crystal module production industry, in particular to a method for detecting mura defects of liquid crystal screens based on computer vision. Background technique [0002] With the development of the information industry, the demand for liquid crystal display screens is also rising. On the one hand, people have stricter controls on the quality of LCD screens; on the other hand, the intensity of competition in the industry is also increasing day by day. It is 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. Therefore, it is very necessary and critical to conduct strict ins...

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Application Information

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IPC IPC(8): G06T7/00G06T7/11G06T7/136
CPCG06T7/0004G06T7/11G06T7/136G06T2207/10004G06T2207/30121G06T2207/20024Y02P90/30
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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