Liquid crystal screen Mura defect detection method based on computer vision

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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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 detection and lack of consistency in detection results caused by manual detection of mura defects, which is prone to visual fatigue for a long time problems, improve the detection efficiency of mura defects, and ensure the consistency of detection results

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