21 July 2017 Ceramic disc surface defect detection based on multi-features
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Proceedings Volume 10420, Ninth International Conference on Digital Image Processing (ICDIP 2017); 104200P (2017) https://doi.org/10.1117/12.2282082
Event: Ninth International Conference on Digital Image Processing (ICDIP 2017), 2017, Hong Kong, China
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.
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Xiaofan He, Xiaofan He, Wei Wang, Wei Wang, Yuning Zhong, Yuning Zhong, "Ceramic disc surface defect detection based on multi-features", Proc. SPIE 10420, Ninth International Conference on Digital Image Processing (ICDIP 2017), 104200P (21 July 2017); doi: 10.1117/12.2282082; https://doi.org/10.1117/12.2282082
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