Texture classification via morphological scale-space: TeX-Mex features

Southam, Paul and Harvey, Richard W. (2009) Texture classification via morphological scale-space: TeX-Mex features. Journal of Electronic Imaging, 18 (4). ISSN 1017-9909

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Abstract

We consider the problem of classifying textures. First, we consider images where the orientation of the texture is known. Then, we consider the classification of textures where the orientation is unknown. Last, classification in real scenes is considered. A wide variety of techniques are tested using the Outex framework. We introduce a new grayscale multiscale texture classification method based on a class of morphological filters called sieves. The method, denoted Tex-Mex because it extracts TEXture features using Morphological EXtrema filters, is shown to be among the best performing texture feature extraction methods. Tex-Mex features can be computed rapidly and are shown to be more robust and compact than the alternatives. Furthermore, they may be applied over windows of arbitrary size and orientation, a useful attribute when classifying texture in real scenes.

Item Type:	Article
Faculty \ School:	Faculty of Science > School of Computing Sciences
UEA Research Groups:	Faculty of Science > Research Groups > Smart Emerging Technologies (former - to 2025) Faculty of Science > Research Groups > Visual Computing and Signal Processing
Depositing User:	EPrints Services
Date Deposited:	01 Oct 2010 13:42
Last Modified:	25 Apr 2025 00:00
URI:	https://ueaeprints.uea.ac.uk/id/eprint/3917
DOI:	10.1117/1.3258441

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