Defect detection method and device for LCD screen

Abstract

The invention discloses a defect detection method and device for an LCD screen. The method comprises the steps of obtaining a screen image of an LCD screen; roughly searching defects in the screen image, and extracting suspicious areas where the defects are located; clustering processing is carried out on each pixel point in the suspicious area based on the suspicious area to obtain a clustering result, and each clustering result corresponds to one suspicious defect; and calculating the width and length of a suspicious defect corresponding to the clustering result according to the clustering result, and determining whether the suspicious defect is a screen defect or not and the screen defect type to which the suspicious defect belongs based on the width and length of the suspicious defect.According to the technical scheme, automatic detection of the screen defects is achieved through coarse positioning and fine positioning of the suspicious defects, and the detection result is accurate and reliable.

Description

technical field [0001] The present application relates to the field of computer technology, in particular to a defect detection method and device for LCD screens. Background technique [0002] The rapid development of mobile technology devices, such as mobile phones, VR (Virtual Reality, virtual reality) devices, etc., cannot do without display screens. In production, the defect detection of the display screen is an essential step. There are many kinds of LCD (Liquid Crystal Display, liquid crystal display) screen defects, most of which are point defects and linear defects, and the position of linear defects is very close to the brightness of the background, so it is very difficult to detect. [0003] At present, most domestic manufacturers still use manual inspection, which has high requirements on the operator's eyes, and the long-term use of manual defect inspection will cause great damage to the operator's eyes, such as vision loss. In addition, the operator works for ...

AI Technical Summary

Problems solved by technology

[0003] At present, most domestic manufacturers still use manual inspection, which has high requirements on the operator's eyes, and the long-term use of manual defect detection will cause great damage to the operator's eyes, such as vision loss

In addition, the operator works for a long time, and when he is tired, it will cause missed inspections, which will increase the probability of defective products entering the market

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