Mechanical part surface defect detection method based on image processing

Abstract

The invention relates to the field of image processing, in particular to a mechanical part surface defect detection method based on image processing, which comprises the following steps: acquiring a surface map and a grey-scale map of a to-be-detected mechanical part; carrying out canny edge detection on the grey-scale map to obtain a plurality of defect discrete edges and isolated points in the grey-scale map; determining an endpoint search domain and an intra-domain weight of each discrete edge according to the gradient amplitude and the gradient direction of each pixel point; obtaining the total similarity of isolated points in each discrete edge search domain; obtaining a connection coefficient corresponding to each isolated point according to the total similarity of the isolated points and the corresponding weight; carrying out endpoint updating on each discrete edge according to the connection coefficient; and performing stopping condition judgment on each discrete edge after the end points are updated each time, obtaining a final connection result, and then obtaining a defect area. The method is used for carrying out defect detection on the surface of the mechanical part, a more complete defect edge can be obtained through the method, and the defect detection effect is improved.

Description

technical field [0001] The invention relates to the field of image processing, in particular to a method for detecting surface defects of mechanical parts based on image processing. Background technique [0002] The quality of mechanical parts has a great influence on the service life of mechanical products. However, due to improper operation during the production process, defects such as scratches and cracks often appear on the surface of mechanical parts, so defect detection of mechanical parts is essential. [0003] Canny edge detection technology is widely used to detect defects on the surface of mechanical parts: it mainly uses the canny edge detection algorithm to obtain defect edge information to realize defect detection. [0004] However, there are some problems in the existing canny edge detection technology. The detected edges are usually discrete edge fragments. When detecting defects, intermittent discrete edges are difficult to identify different types of defec...

AI Technical Summary

Problems solved by technology

[0004] However, there are some problems in the existing canny edge detection technology. The detected edges are usually discrete edge fragments. When detecting defects, intermittent discrete edges are difficult to identify different types of defects, which greatly affects the quality of defects. detection effect, so discrete edges need to be connected

However, the existing edge connection algorithm only connects according to whether there are other edge contours in the neighborhood of the endpoint 8, and cannot adapt to some situations that are very close but not strictly connected.

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