Analysis of coarseness of edges extracted from borescope images based on wavelet transform

[1] Mallat S, Hwang W L. Singularity detection and processing with wavelets[J]. IEEE Trans on Information Theory, 1992, 38(3):617-643 [2] Mallat S G. A theory for multiresolution signal decomposition:the wavelet representation[J]. IEEE Trans on Pattern Analysis and Machine Intelligence, 1989, 11(7):674-693 [3] 毛峡,孟庆宇. 基于小波变换和神经网络的脑电信号分类方法[J]. 北京航空航天大学学报,2005,31(10):1140-1144 Mao Xia, Meng Qingyu. Method of EEG signals classification based on wavelet transform and neural networks[J]. Journal of Beijing University of Aeronautics and Astronautics, 2005, 31(10):1140-1144(in Chinese) [4] Iano Y, Da Silva F S, Cruz A L M. A fast and efficient hybrid fractal-wavelet image coder[J]. IEEE Trans on Image Processing, 2006, 15(1):98-105 [5] Chappelier V, Guillemot C. Oriented wavelet transform for image compression and de-noising [J]. IEEE Trans on Image Processing, 2006, 15(10):2892-2903 [6] Frinkelstein A, Salesin D H. Multiresolution curves[J]. Computer Graphics, 1994, 28(3):261-268 [7] Mallat S. A wavelet tour of signal processing[M].Second edition. Beijing:China Machine Press, 2003 [8] 孙延奎. 小波分析及其应用[M]. 北京:机械工业出版社,2005 Sun Yankui. Wavelet analysis and application[M]. Beijing:China Machine Press, 2005(in Chinese)