Texture analysis with a texture matched M-channel wavelet approach

Authors:
T. Greiner;J.-P. Casel;M. Pandit
Affiliations:
Dep. of Elect. Eng., Univ. of Kaiserslautern, Kaiserslautern, Germany;Dep. of Elect. Eng., Univ. of Kaiserslautern, Kaiserslautern, Germany;Dep. of Elect. Eng., Univ. of Kaiserslautern, Kaiserslautern, Germany
Venue:
ICASSP'93 Proceedings of the 1993 IEEE international conference on Acoustics, speech, and signal processing: image and multidimensional signal processing - Volume V
Year:
1993

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Abstract

In this paper, we describe a new method of texture analysis based on the wavelet transform. We propose an M-channel extension of the existing two-channel biorthogonal wavelets. This extension offers a compact and efficient decomposition, a higher degree of freedom in the design of the filter coefficients and the facility of an iterative linear solution. In contradistinction to the classical, purely mathematical design procedures of wavelet filters, the proposed design takes into account texture-relevant features. Finally, texture matched, asymmetric separable twodimensional FIR-filters are obtained, which permit the decomposition of the image into texture feature dependent pyramid structures downsampled by a factor of M for each direction. The performance of the new filters is tested with the Brodatz textures and compared with the results of other wavelet approaches.