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Proceedings Paper

Fourth-order B-spline wavelet multiscale local modulus maxima for edge detection in identification of pipeline fault
Author(s): Peixin Yuan; Jun Tan; Jiahui Cong
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Paper Abstract

In this paper, for the actual in-service pipeline detection, an edge detection method based on fourth-order B-spline wavelet multi-scale local modulus maxima is proposed. We extract defect edge using wavelet maximum algorithm, select fine length, invariant moment, gray scale energy and so on, several key characteristic parameters that are good for defect identification, and use BP neural network of single-output form for pattern recognition. By this method we complete the classification of the pipe weld joints and corrosion defects, and quantitative identification of corrosion defects.

Paper Details

Date Published: 14 April 2010
PDF: 7 pages
Proc. SPIE 7522, Fourth International Conference on Experimental Mechanics, 75226P (14 April 2010); doi: 10.1117/12.850586
Show Author Affiliations
Peixin Yuan, Northeastern Univ. (China)
Jun Tan, Northeastern Univ. (China)
Jiahui Cong, Northeastern Univ. (China)


Published in SPIE Proceedings Vol. 7522:
Fourth International Conference on Experimental Mechanics
Chenggen Quan; Kemao Qian; Anand Krishna Asundi; Fook Siong Chau, Editor(s)

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