DocumentCode :
2906617
Title :
Jacobi moments as image features
Author :
Yap, Pew-Thian ; Paramesran, Raveendran
Author_Institution :
Dept. of Electr. Eng., Malaya Univ., Kuala Lumpur, Malaysia
Volume :
A
fYear :
2004
fDate :
21-24 Nov. 2004
Firstpage :
594
Abstract :
In this paper, we introduce a set of moments which is based on Jacobi polynomials. The set of Jacobi polynomials are orthogonal and this ensures minimal information redundancy between the moments. By changing the parameters α and β, it is shown that the moments are able to extract both global and local features. This is unseen in moments such as geometric, Legendre and Zernike moments as they are all global moments. This means that, by using Jacobi moments, local information at a particular position of the image can be extracted. Experimental results are given to support these claims.
Keywords :
feature extraction; polynomials; Jacobi polynomials; feature extraction; image features; minimal information redundancy; Jacobian matrices;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
TENCON 2004. 2004 IEEE Region 10 Conference
Print_ISBN :
0-7803-8560-8
Type :
conf
DOI :
10.1109/TENCON.2004.1414490
Filename :
1414490
Link To Document :
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