Title :
On image analysis by orthogonal moments
Author :
Pawlak, Miroslaw ; Liao, Xinmeng
Author_Institution :
Dept. of Electr. & Comput. Eng., Manitoba Univ., Winnipeg, Man., Canada
fDate :
30 Aug-3 Sep 1992
Abstract :
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
Keywords :
geometry; image reconstruction; data-driven selection; global reconstruction error; image reconstruction; image smoothness; noise model characteristics; orthogonal moment descriptors; sampling rate; Computer errors; Convergence; Data compression; Image analysis; Image reconstruction; Image sampling; Layout; Pattern matching; Pattern recognition; Polynomials;
Conference_Titel :
Pattern Recognition, 1992. Vol.III. Conference C: Image, Speech and Signal Analysis, Proceedings., 11th IAPR International Conference on
Conference_Location :
The Hague
Print_ISBN :
0-8186-2920-7
DOI :
10.1109/ICPR.1992.202046
