连续运动螺纹尺寸自适应机器视觉检测

doi:10.3969/j.issn.1000-1158.2020.09.05

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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.

Key words： metrology size detection thread parameter machine vision continuous motion corner detection straight line fitting

Received: 12 April 2019 Published: 28 August 2020

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TB921

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	BAO Neng-sheng
	FANG Hai-tao

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BAO Neng-sheng,FANG Hai-tao. Continuous Motion Thread Size Detection with Adaptive Machine Vision[J]. Acta Metrologica Sinica, 2020, 41(9): 1062-1069.

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http://jlxb.china-csm.org:81/Jwk_jlxb/EN/10.3969/j.issn.1000-1158.2020.09.05 OR http://jlxb.china-csm.org:81/Jwk_jlxb/EN/Y2020/V41/I9/1062

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