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Proceedings Paper

Ceramic disc surface defect detection based on multi-features
Author(s): Xiaofan He; Wei Wang; Yuning Zhong
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Paper Abstract

A surface defect detection method based on multi-features is proposed for the detection of complex ceramic disc surface. Firstly, geometric transformation is implemented on the image being detected, which makes the direction and position of the image to be unified. Then, according to the standard template, the image is separated into several regions with different gray characteristics for interval inspect. Defects containing broken, chipping, uneven polishing, crack, etc. are classified into two types—blob defect and crack defect. Blob defect detection is mainly based on the analysis of the abnormal part of regional gray value, and the crack detection is based on the analysis of shape and neighborhood gray gradient changes. Experimental result shows that the algorithm proposed is sensitive to the surface defects, and can effectively reduce the false positives with detection rate more than 94%, detection speed up to 5 parts per second.

Paper Details

Date Published: 21 July 2017
PDF: 6 pages
Proc. SPIE 10420, Ninth International Conference on Digital Image Processing (ICDIP 2017), 104200P (21 July 2017); doi: 10.1117/12.2282082
Show Author Affiliations
Xiaofan He, Hubei Univ. of Technology (China)
Hubei Province Key Lab. of Modern Manufacturing Quality Engineering (China)
Wei Wang, Hubei Univ. of Technology (China)
Hubei Province Key Lab. of Modern Manufacturing Quality Engineering (China)
Yuning Zhong, Hubei Province Key Lab. of Modern Manufacturing Quality Engineering (China)
Hubei Univ. of Automotive Technology (China)


Published in SPIE Proceedings Vol. 10420:
Ninth International Conference on Digital Image Processing (ICDIP 2017)
Charles M. Falco; Xudong Jiang, Editor(s)

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