On the selection of an optimal wavelet basis for texture characterization

Many issues related to the choice of filter bank in the texture processing remained unresolved till now. The impact of the wavelet basis has been mentioned in a very few of the previously published papers whereas other more detailed investigations have considered only the choice of the wavelet basis in image coding. Therefore, the scope of this paper was to investigate whether the properties of the decomposition filters play an important role in texture description, and which feature is dominant in the selection of an optimal filter bank. We performed classification experiments with 23 Brodatz textures and ranked 19 orthogonal and biorthogonal filters. Our experiments show that the selection of the decomposition filters has a significant influence on the texture characterization. Based on the obtained results, we establish the most relevant criteria for choice of decomposition filters in wavelet-based texture characterization algorithms.