Combined statistical-fractal wavelets signatures for texture recognition

François Mourougaya; Philippe Carré; Christine Fernandez-Maloigne

doi:10.1117/12.685833

12 October 2006 Combined statistical-fractal wavelets signatures for texture recognition

François Mourougaya, Philippe Carré, Christine Fernandez-Maloigne

Proceedings Volume 6383, Wavelet Applications in Industrial Processing IV; 63830N (2006) https://doi.org/10.1117/12.685833
Event: Optics East 2006, 2006, Boston, Massachusetts, United States

Abstract

When characterizing textures in the scope of recognition or segmentation, one can choose from a great number of existing features. Among them, features based on the wavelet decomposition provide good results and are already used in many applications. One key point for the success of these methods is the choice of the signature used to describe the sub-bands. The energy signature is the most popular, but others exist, with better efficiency. In this paper, we review some of them and bring improvements in their computation. We also show that combining spatial and statistical signatures increase their performance in texture classification problematics.

Citation Download Citation

François Mourougaya, Philippe Carré, and Christine Fernandez-Maloigne "Combined statistical-fractal wavelets signatures for texture recognition", Proc. SPIE 6383, Wavelet Applications in Industrial Processing IV, 63830N (12 October 2006); https://doi.org/10.1117/12.685833

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KEYWORDS

Wavelets

Fractal analysis

Databases

Image classification

Filtering (signal processing)

Image filtering

Mathematical modeling

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