Wavelet Energy Signature: Comparison and Analysis

Though wavelet transform based methods have recently raised increasing interests in texture analysis due to their good space and frequency localization, many issues related to the choice of the wavelet basis and texture feature remain unresolved. In this paper, we evaluate the performance of seven wavelet energy signatures and eight wavelet basis for texture discrimination. Experimental results on 111 Brodatz textures show that the feature extracted from high and middle frequency channels is more suitable for texture analysis and the choice of wavelet basis has some influence on texture discrimination.

[1]  Anil K. Jain,et al.  Markov Random Field Texture Models , 1983, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[2]  Haluk Derin,et al.  Modeling and Segmentation of Noisy and Textured Images Using Gibbs Random Fields , 1987, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[3]  Mayer Aladjem,et al.  Boundary refinements for wavelet-domain multiscale texture segmentation , 2005, Image Vis. Comput..

[4]  Michael Unser,et al.  Texture classification and segmentation using wavelet frames , 1995, IEEE Trans. Image Process..

[5]  Aleksandra Mojsilovic,et al.  On the Selection of an Optimal Wavelet Basis for Texture Characterization , 1998, ICIP.

[6]  Robert M. Haralick,et al.  Textural Features for Image Classification , 1973, IEEE Trans. Syst. Man Cybern..

[7]  Wilson S. Geisler,et al.  Multichannel Texture Analysis Using Localized Spatial Filters , 1990, IEEE Trans. Pattern Anal. Mach. Intell..

[8]  M. Unser Local linear transforms for texture measurements , 1986 .

[9]  Phil Brodatz,et al.  Textures: A Photographic Album for Artists and Designers , 1966 .

[10]  Arivazhagan Selvaraj,et al.  Texture segmentation using wavelet transform , 2003, Pattern Recognit. Lett..

[11]  John Daugman,et al.  An information-theoretic view of analog representation in striate cortex , 1993 .

[12]  Stéphane Mallat,et al.  A Theory for Multiresolution Signal Decomposition: The Wavelet Representation , 1989, IEEE Trans. Pattern Anal. Mach. Intell..

[13]  Mary M. Galloway,et al.  Texture analysis using gray level run lengths , 1974 .

[14]  C.-C. Jay Kuo,et al.  Texture analysis and classification with tree-structured wavelet transform , 1993, IEEE Trans. Image Process..

[15]  J. Macgregor,et al.  Image texture analysis: methods and comparisons , 2004 .

[16]  Ingrid Daubechies,et al.  Ten Lectures on Wavelets , 1992 .

[17]  Arivazhagan Selvaraj,et al.  Texture classification using wavelet transform , 2003, Pattern Recognit. Lett..

[18]  Anil K. Jain,et al.  Unsupervised texture segmentation using Gabor filters , 1990, 1990 IEEE International Conference on Systems, Man, and Cybernetics Conference Proceedings.