Measurement of Color Texture

In computer vision, measurement of image properties such as color or texture is essential. However, existing methods for measuring color and texture in combination are not well-defined neither from a measurement theoretical basis nor from a physical point of view. 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 measurment filter in this domain boils down to a 3D Gaussian, representing a Gabor-Gaussian in the spatial-color domain. 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 grey-value texture.