Title :
X-Ray Image Edge Detection Based on Wavelet Transform and Lipschitz Exponent
Author :
Tang, Guowei ; Zhong, Xiaoqing ; Zhang, Fangzhou ; Jin, Zhenying
Author_Institution :
Coll. of Comput. & Inf. Technol., Daqing Pet. Inst., Daqing
Abstract :
The characteristics of X-ray testing image are analyzed and an edge detection algorithm based on the multi-scale and multi-resolution of wavelet transform is proposed. According to the propagation of modulus maximum under different scales and the relationship between wavelet transform and Lipschitz exponent, the local maxima in vertical, horizontal and diagonal directions are detected by quadratic B-spline and Mallat algorithm was used in wavelet decomposition to determine defect edges. The experiment results prove that the algorithm of edge detection works fine the X-ray images.
Keywords :
X-ray imaging; edge detection; splines (mathematics); wavelet transforms; Lipschitz exponent; X-ray image edge detection; modulus maximum propagation; quadratic B-spline algorithm; wavelet decomposition; wavelet transform; Image analysis; Image edge detection; Information technology; Pipelines; Wavelet analysis; Wavelet transforms; Welding; X-ray detection; X-ray detectors; X-ray imaging; Lipschitz exponent; Multi-resolution; X-ray image; edge detection; wavelet transform;
Conference_Titel :
Intelligent Information Technology and Security Informatics, 2009. IITSI '09. Second International Symposium on
Conference_Location :
Moscow
Print_ISBN :
978-1-4244-3580-7
DOI :
10.1109/IITSI.2009.50
