Discrete Orthognal Moment Features Using Chebyshev Polynomials
Type of content
Conference Contributions - Published
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Publisher
University of Canterbury. Computer Science and Software Engineering.
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Date
2000
Authors
Mukundan, R.
Ong, S.H.
Lee, P.A.
Abstract
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.
Description
Citation
Mukundan, 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.
Keywords
pattern recognition, image moment functions, orthogonal moments, chebyshev polynomials