Advances in Texture Analysis: Energy Dominant Component & Multiple Hypothesis Testing (TA-P4)

Author(s) : Iasonas Kokkinos (National Technical University of Athens, Greece) Georgios Evangelopoulos (National Technical University of Athens, Greece) Petros Maragos (National Technical University of Athens, Greece)

Abstract : The use of AM--FM modulating functions for image modelling and the framework of multiband image filtering are widely used in various image processing tasks including texture analysis and segmentation. In this paper we present some advances in two directions, namely the improvement of modulation feature extraction and texture vs. non texture discrimination. First we present a modified dominant AM-FM component analysis scheme based on non-linear energy operators and subsequently we propose a novel approach to the discrimination between textured and non-textured image areas using multiband filter responses which is formulated as a statistical multiple hypothesis testing problem. The theoretical insights of this approach are supported by experimental validation using natural images.

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