Based on the TF fast clustering algorithm steel surface defect feature extraction and classification

Zhiwei Yu; Mudi Xiong; Zhuqing Niu

doi:10.1117/12.2031817

26 October 2013 Based on the TF fast clustering algorithm steel surface defect feature extraction and classification

Zhiwei Yu, Mudi Xiong, Zhuqing Niu

Proceedings Volume 8921, MIPPR 2013: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications; 89212C (2013) https://doi.org/10.1117/12.2031817
Event: Eighth International Symposium on Multispectral Image Processing and Pattern Recognition, 2013, Wuhan, China

Abstract

To detect steel plate surface defect and collect the defect feature, this paper puts forward a steel plate surface defect detection method based on TF fast clustering algorithm, which runs fast and timely in the field of industrial fields, such as shipyard. According to the gray characteristics and geometrical characteristics, several common defects are divided into simple classifications.

Citation Download Citation

Zhiwei Yu, Mudi Xiong, and Zhuqing Niu "Based on the TF fast clustering algorithm steel surface defect feature extraction and classification", Proc. SPIE 8921, MIPPR 2013: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 89212C (26 October 2013); https://doi.org/10.1117/12.2031817

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