DocumentCode :
2973431
Title :
Improvement and invariance analysis of Zernike moments using as a region-based shape descriptor
Author :
Bin, Ye ; Jia-xiong, Peng
Author_Institution :
Inst. for Pattern Recognition, Huazhong Univ. of Sci. & Technol., China
fYear :
2002
fDate :
2002
Firstpage :
120
Lastpage :
127
Abstract :
An improved Zernike moment using as a region-based shape descriptor is presented. The improved Zernike moment not only has rotation invariance, but also has scale invariance that the unimproved Zernike moment does not have. The experimental results show that the improved Zernike moment has better invariant properties than unimproved Zernike moment using as region-based shape descriptor.
Keywords :
Zernike polynomials; computer vision; Zernike moments; computer vision; invariance analysis; region based shape descriptor; region-based shape descriptor; rotation invariance; scale invariance; Artificial intelligence; Content based retrieval; Image databases; Image processing; Image retrieval; Intelligent control; Multi-stage noise shaping; Pattern recognition; Shape; Trademarks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Graphics and Image Processing, 2002. Proceedings. XV Brazilian Symposium on
ISSN :
1530-1834
Print_ISBN :
0-7695-1846-X
Type :
conf
DOI :
10.1109/SIBGRA.2002.1167134
Filename :
1167134
Link To Document :
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