Discrete Orthognal Moment Features Using Chebyshev Polynomials
Ramakrishnan Mukundan, S. H. Ong, P.A. Lee · UC Research Repository (University of Canterbury) · 2000
This paper introduces a new set of moment functions based on Chebyshev polynomials which are orthogonal in the discrete domain of the image coordinate space. Chebyshev moments eliminate the problems associated with conventional orthogonal image moments such as the Legendre moments and the Zernike moments. The theoretical framework of discrete orthogonal moments is given, and their superior feature representation capability is demonstrated.