Color texture measurement and 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. r 2004 Elsevier B.V. All rights reserved.