Mobile phone glass cover plate window area defect detection method based on symmetry

Abstract

The invention discloses a symmetry-based mobile phone glass cover plate window area defect detection method, and relates to mobile phone glass cover plate defect detection, which comprises the following steps of: calculating a defect enhanced image by using an image sequence shot by black and white periodic structured light, and then preprocessing and denoising. The ROI is extracted, contour extraction is carried out on the window area twice through a sub-pixel edge detection method, the contour extraction is a real contour edge and a standard contour edge for straight line fitting, and the symmetry axis is calculated. And detecting edge breakage and burrs according to the difference between the two contours. And performing subtraction operation on pixel points at corresponding positions on two sides of the symmetry axis in a spatial domain, and extracting a binary image only having a defect area by using difference information so as to detect defects on the surface of the window area. The detection method provided by the invention overcomes the problems that traditional template matching needs a standard template and cannot adapt to detection of various models, and can realize rapid and high-recognition-rate automatic detection of the defects of the window area of the mobile phone glass cover plate.

Description

technical field [0001] The invention relates to the field of glass defect detection, in particular to a symmetry-based method for detecting defects in the window area of ​​a glass cover plate of a mobile phone. Background technique [0002] With the continuous development of technologies such as wireless charging and 5G, glass material has become the preferred raw material for mobile phone cover manufacturers due to its good mechanical and optical properties and low cost compared to ceramic materials. However, as the outermost layer of the mobile phone and the part that consumers often touch, the glass cover will inevitably produce various defects with different characteristics in the production process, such as scratches, pits, chipping, etc. Impurities, discoloration and other defects. Before leaving the factory, manufacturers and purchasers will require strict quality inspection processes to monitor the production quality of products and enhance their product competitive...

AI Technical Summary

Problems solved by technology

[0003] At present, other production processes of the glass cover production line have been automated, but the defect detection method still uses manual visual inspection. This method cannot accurately quantify defects, and is easily affected by human subjective consciousness, so there is efficiency. Low, high rate of missed detection and false detection

Quality inspectors need to be in a dark environment around them, but the inspection station is tested in a high-intensity light environment, which will also damage the eyesight of quality inspectors to a certain extent. Manufacturers are also facing difficulties in recruiting workers and high labor costs. It is urgent to introduce advanced automatic inspection Equipment reduces labor costs and improves production efficiency

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