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On image analysis by orthogonal moments

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2 Author(s)
Pawlak, M. ; Dept. of Electr. & Comput. Eng., Manitoba Univ., Winnipeg, Man., Canada ; Liao, X.

Examines the reconstruction properties of orthogonal moment descriptors. An asymptotic expansion for the global reconstruction error is established. This reveals mutual relationships between a number of moments, the image smoothness, sampling rate and noise model characteristics. The problem of a data-driven selection of an optimal number of moments is addressed

Published in:

Pattern Recognition, 1992. Vol.III. Conference C: Image, Speech and Signal Analysis, Proceedings., 11th IAPR International Conference on

Date of Conference:

30 Aug-3 Sep 1992