Image analysis by hypergeometric function of Legendre moments

This paper introduces a new set of orthogonal moments function hypergeometric based on the discrete Legendre polynomials. The Legendre moments can be effectively used as pattern features in the analysis of two-dimensional images. The implementation of moments proposed in this paper does not involve any numerical approximation, since the basis set is orthogonal in the discrete domain of the image coordinate space. The paper presents the experimental results of Legendre moments with hypergeometric function and demonstrates their feature representation capability using the method of image reconstruction.