Classification of color textures by Gabor filtering

Authors:
Christoph Palm;Thomas M. Lehmann
Affiliations:
Institute of Medical Informatics, Aachen University of Technology (RWTH), Aachen, Germany and Aixplain AG, Monheimsallee 22, D-52062 Aachen, Germany;Institute of Medical Informatics, Aachen University of Technology (RWTH), Aachen, Germany
Venue:
Machine Graphics & Vision International Journal - Special issue on latest results in colour image processing and applications
Year:
2002

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Abstract

A novel approach to Gabor filtering of color textures is introduced. It is based on the complex chromatic Fourier transform. Complex colors are derived from the HSL color space representing intensity- independent color textures. Additionally, a novel Gabor texture feature for the grayscale as well as the color domain is proposed. It relies on local phase changes characterizing the homogeneity of a texture in the spatial frequency domain. Several classification experiments on two image databases are performed to study the texture features according to different color spaces and Gabor filter bank variants. The color features show significantly better results than the grayscale features. Although they are completely intensity-independent, the features on the basis of the complex color space show satisfying results. The RGB based features, where color and intensity work inherently together, perform best. Especially the local phase change measure supplements the known amplitude measure appropriately.