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Unified Color Texture Descriptor Using Gaussian Color Model and Rayleigh Density Function

In Content Based Retrieval Systems, many recent works attempt to combine more than one property of images in a unique framework. We propose a new descriptor based on color-texture features. Our approach is based on the physical properties of light bouncing from a scene. We measure the texture in color images with 3D Gaussians which represents the Gabor-Gaussian probe in the spatial domain. Furthermore, it is claimed that the distribution of Gabor filter outputs can also be provided by a Rayleigh Filter. Thus, we deduce the Rayleigh-Gaussian framework from the Gabor-Gaussian one. Then we compute a descriptor based on statistical measures performed on Rayleigh-Gaussian features.