Classification results obtained using wavelet-based texture analysis techniques vary with the choice of mother wavelet used in the methodology. We discuss the use of mother wavelet filters as parameters in a probabilistic approach to texture analysis based on adaptive biorthogonal wavelet packet bases. The optimal choice for the mother wavelet filters is estimated from the data, in addition to the other model parameters. The model is applied to the classification of single texture images and mosaics of Brodatz textures, the results showing improvement over the performance of standard wavelets for a given filter length.
Texture-adaptive mother wavelet selection for texture analysis
IEEE International Conference on Image Processing 2005 ; 2 ; II-1290
2005-01-01
292756 byte
Conference paper
Electronic Resource
English
Texture-Adaptive Mother Wavelet Selection for texture Analysis
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