Section: New Results

Fast and Accurate Texture Recognition with Multilayer Convolution and Multifractal Analysis

Participants : Hicham Badri, Hussein Yahia, Khalid Daoudi.

Reference: [25] .

A fast and accurate texture recognition system is presented. It consists in extracting locally and globally invariant representations of a given texture image. The mapping from the locally to the globally invariant representation is based on a scale-invariant method via the calculation of singularity exponents. The final descriptor is extracted from the distribution of these exponents and leads to a more accurate descriptor compared to the popular box-counting method. We also propose to use a combination of the generative PCA classifier together with multi-class SVM as well as a synthetic training strategy. Experiments show that the proposed solution outperforms existing methods on three challenging public benchmark datasets, while being computationally efficient.