Color texture measurement and segmentation

Authors:
Minh A. Hoang;Jan-Mark Geusebroek;Arnold W. M. Smeulders
Affiliations:
ISLA, Informatics Institute, Faculty of Science, University of Amsterdam, Kruislaan 403, 1098 SJ Amsterdam, Netherlands;ISLA, Informatics Institute, Faculty of Science, University of Amsterdam, Kruislaan 403, 1098 SJ Amsterdam, Netherlands;ISLA, Informatics Institute, Faculty of Science, University of Amsterdam, Kruislaan 403, 1098 SJ Amsterdam, Netherlands
Venue:
Signal Processing - Special section on content-based image and video retrieval
Year:
2005

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Abstract

In computer vision, measurement of image properties such as color or texture is essential. In this paper, we propose a solid framework for the local measurement of texture in color images. We give a physical basis for the integration of the well-known Gabor filters with the measurement of color. Our method implies that the color-texture is measured in the wavelength-Fourier domain. The measurement filter in this domain boils down to a 3D Gaussian, representing a Gabor Gaussian in the spatial-color domain. In addition, the extended measurements invariant to shadow or shading can be derived directly from the proposed method. We apply a simple segmentation algorithm to illustrate the performance of our proposed color-texture measurement. The derived color-texture filter is demonstrated to be accurate in capturing texture statistics. In addition, the method is compatible with the measurement of gray-value texture.