Continuous Motion Thread Size Detection with Adaptive Machine Vision
BAO Neng-sheng1,2,FANG Hai-tao1
1. Department of Mechanical and Electronic Engineering, Shantou University, Shantou, Guangdong 515063, China
2. Key Laboratory of Intelligent Manufacturing(Shantou University), Ministry of Education,Shantou, Guangdong 515063, China
Abstract Because of the problem of low efficiency, high working intensity and low detection accuracy of threaded parts, the adaptive machine vision detection method of continuous motion thread size is proposed.Firstly, an online image acquisition device is designed to collect moving thread parts images.Secondly, NCC (normalized cross correlation) normalization matching algorithm is used to identify and track the threaded parts.On this basis, an adaptive ROI (region of interest) clipping region is designed; then the edge contour is extracted by Canny algorithm.The least squares straight line fitting technique is used to fit the thread profile straight line, the thread diameter line is generated, and the measurement of the thread diameter is completed.Finally, based on the Harris corner detection algorithm is used for multi-thread contour peak and trough extraction, it is proposed to use the distance between the thread diameter line and each corner point to complete the refinement of the diagonal point.Experiments show that the proposed method is feasible and effective in thread size detection.
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2020, Vol. 41 
