Wavelet packet neural networks for texture classification

Abstract

Texture can be defined as a local statistical pattern of texture primitives in observer’s domain of interest. Texture classification aims to assign texture labels to unknown textures, according to training samples and classification rules. This paper describes the usage of wavelet packet neural networks (WPNN) for texture classification problem. The… (More)
DOI: 10.1016/j.eswa.2005.12.013

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