期刊
SIGNAL PROCESSING
卷 85, 期 2, 页码 265-275出版社
ELSEVIER
DOI: 10.1016/j.sigpro.2004.10.009
关键词
color texture; Gaussian probes; Gabor filters; shadow invariant; segmentation
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. (C) 2004 Elsevier B.V. All rights reserved.
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