聚晶金刚石复合片表面裂纹视觉检测技术研究

doi:10.11896/j.issn.1005-023X.2017.024.034

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Abstract Computer vision detection technology was adopted to extract the defect feature quantity of the surface, and further completed the detection of surface crack defects in polycrystalline diamond compact. First, according to the features of polycrystalline diamond compact, the appropriate light source lighting system was studied. Then, a local boundary extraction method based on the histogram projection gradient extremum was proposed, and the region of interest (ROI) was extracted. On this basis, the method of image filtering and threshold segmentation were used to realize the accurate extraction of the crack. Finally, the crack was identified by calculating the circularity factor and aspect ratio of the cracked domain. Experimental results showed that this method can effectively detect the surface crack defects of polycrystalline diamond compact.

Key words： polycrystalline diamond compact (PDC) crack defect boundary extraction vision detection

Published: 08 May 2018

CLC number:	TB333
	TP391

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	Articles by authors
	LI Huihui
	GUO Hua
	CHEN Chen
	HUANG Yingxiang

Cite this article:

LI Huihui,GUO Hua,CHEN Chen, et al. Vision Detection Technology Research for Surface Crack of Polycrystalline Diamond Compact[J]. Materials Reports, 2017, 31(24): 174-178.

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http://www.mater-rep.com/EN/10.11896/j.issn.1005-023X.2017.024.034 OR http://www.mater-rep.com/EN/Y2017/V31/I24/174

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