Measurement of Color Texture

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 colortexture 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 measurement invariant to shadow or shading can be derived directly from the proposed method. A simple segmentation algorithm is applied to illustrate the performance of the proposed color-texture measurement. The derived color-texture filter is demonstrated to be accurate in capturing texture statistics.