Mukundan, R.Ong, S.H.Lee, P.A.2007-09-062007-09-062000Mukundan, R., Ong, S.H., Lee, P.A. (2000) Discrete Orthognal Moment Features Using Chebyshev Polynomials. New Zealand: International Conference on Image and Vision Computing - IVCNZ'00, 27-29, November 2000. 20--25.978-0-473-07213-1http://hdl.handle.net/10092/446This 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.enpattern recognitionimage moment functionsorthogonal momentschebyshev polynomialsConference Contributions - PublishedFields of Research::280000 Information, Computing and Communication Sciences::280200 Artificial Intelligence and Signal and Image Processing::280207 Pattern recognitionFields of Research::280000 Information, Computing and Communication Sciences::280200 Artificial Intelligence and Signal and Image Processing::280203 Image processing