Texture analysis with Hermite basic elementary functions

Abstract

Recently the use of Hermite functions in vision and image analysis has gained interest in the image processing community. Hermite functions are related to Gaussian functions through a differential operator. In the search for a suitable spatially localized, but not-redundant, alternative to the Gabor approach, Gaussian derivatives as basis functions were introduced. The literature reports that Hermite functions fit the profiles of many cells in the striate cortex very well. We will present some results on texture analysis using Hermite functions.