Comparative experiment with colour texture classifiers using the CCR feature space

Authors:
Evguenii V. Kurmyshev;Raul E. Sanchez-Yanez
Affiliations:
Departamento de Metrologia Optica-Optical Metrology, Centro de Investigaciones en Optica, A.C., Apartado Postal 1-948, Loma del Bosque 115, Col. Lomas del Campestre, 37150 Leon, Guanajuato, Mexico;Universidad de Guanajuato FIMEE, Tampico 912, Colonia Bellavista, 36730 Salamanca, Guanajuato, Mexico
Venue:
Pattern Recognition Letters
Year:
2005

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Rotation-invariant colour texture classification through multilayer CCR

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Abstract

An approach to grey level texture analysis is extended to colour images. Three colour texture classifiers using the CCR feature space are proposed. Textural information is derived from luminance plane by means of coordinated clusters transform along with chrominance features treated separately. The classifiers differ, basically, in the use of RGB and YIQ colour spaces. The main objective of this work is to evaluate the performance of classifiers quantitatively by means of comparative experiment on a set of VisTex and OuTex colour images. The experimental results indicate that the new classifiers are fast and at least as efficient as other texture analysis techniques evaluated on the same set of images.