DocumentCode
3063100
Title
On image analysis by orthogonal moments
Author
Pawlak, Miroslaw ; Liao, Xinmeng
Author_Institution
Dept. of Electr. & Comput. Eng., Manitoba Univ., Winnipeg, Man., Canada
fYear
1992
fDate
30 Aug-3 Sep 1992
Firstpage
549
Lastpage
552
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ICPR.1992.202046
Filename
202046
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