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Proceedings Paper

A crack extraction algorithm based on improved median filter and Hessian matrix
Author(s): Yafeng Zhao; Qiancheng Zhao; Yongbiao He; Guofeng Lu
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Paper Abstract

Aiming at the problems of existing crack extraction algorithms which are difficult to achieve fast and accurate crack extraction of image, an algorithm of crack detection based on Median Filter and Hessian Matrix is proposed. Firstly, median filter of crack gray image in 4 directions, Level, 45 degree, vertical and -45 degree, is conducted, by which noises are removed and roughly extracted crack is obtained. Then according to the Hessian matrix feature of extracting image linear feature, convolution of Differential operation of the Hessian matrix is adopted, and crack is further extracted through eigenvalues response and changing standard deviation of Gaussian function. The proposed algorithm validity is verified by comparison with other crack extraction algorithm. The results show that this algorithm has obvious accuracy rate in crack extraction.

Paper Details

Date Published: 26 January 2016
PDF: 6 pages
Proc. SPIE 9903, Seventh International Symposium on Precision Mechanical Measurements, 99032W (26 January 2016); doi: 10.1117/12.2218111
Show Author Affiliations
Yafeng Zhao, Hunan Univ. of Science and Technology (China)
Qiancheng Zhao, Hunan Univ. of Science and Technology (China)
Yongbiao He, Hunan Univ. of Science and Technology (China)
Guofeng Lu, Hunan Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 9903:
Seventh International Symposium on Precision Mechanical Measurements
Liandong Yu, Editor(s)

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