Texture Discrimination Via Higher-order Statistics

Fourth-order moments are proposed in this paper as tools for discerning different textures in an image. A linear combination of such statistics is shown to be estimated by convolving the input signal with a quadratic 2-D filter and measuring the output power. A method for designing suitable filters is proposed, and the performance of the structure is evi.dentiated by putting it to work both on natural and synthetic images.