A Defect Detection Algorithm for Industrial Parts Based on Pixel-Vector Invariant Relation Features
A detection algorithm and pixel technology, applied in computer parts, computing, image analysis, etc., to achieve high detection rate
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[0074] The present invention will be further described in detail below in conjunction with the accompanying drawings and examples of implementation.
[0075] The implementation of a part defect detection algorithm based on pixel vector invariant relationship features mainly includes three steps: 1. Extraction of edge pixels to be detected. 2. Pixel vector extraction. 3. Pixel vector invariant feature definition and matching. Its specific algorithm process is realized as figure 1 shown.
[0076] 1. Extraction of edge pixels to be detected
[0077] Such as figure 2 As shown, firstly, select an appropriate gradient threshold, and use the Canny edge detection algorithm to realize the defect region of interest (such as figure 2 The edge detection of (a)) obtains the binary image of all edge pixel connected domains in the region of interest, such as figure 2 (b). Then filter the extracted edge connected domain contour according to the contour position, and extract the cont...
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