DocumentCode
798090
Title
On image analysis by the methods of moments
Author
Teh, Cho-Huak ; Chin, Roland T.
Author_Institution
Dept. of Electr. & Comput. Eng., Wisconsin Univ., Madison, WI, USA
Volume
10
Issue
4
fYear
1988
fDate
7/1/1988 12:00:00 AM
Firstpage
496
Lastpage
513
Abstract
Various types of moments have been used to recognize image patterns in a number of applications. A number of moments are evaluated and some fundamental questions are addressed, such as image-representation ability, noise sensitivity, and information redundancy. Moments considered include regular moments, Legendre moments, Zernike moments, pseudo-Zernike moments, rotational moments, and complex moments. Properties of these moments are examined in detail and the interrelationships among them are discussed. Both theoretical and experimental results are presented
Keywords
pattern recognition; picture processing; Legendre moments; Zernike moments; complex moments; image analysis; image-representation; information redundancy; noise sensitivity; pattern recognition; picture processing; regular moments; rotational moments; Image analysis; Image recognition; Image reconstruction; Image representation; Image sampling; Moment methods; Pattern analysis; Pattern recognition; Polynomials; Stochastic resonance;
fLanguage
English
Journal_Title
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher
ieee
ISSN
0162-8828
Type
jour
DOI
10.1109/34.3913
Filename
3913
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