DocumentCode :
2295548
Title :
Generic Fourier descriptor for shape-based image retrieval
Author :
Zhang, Dengsheng ; Lu, Guojun
Author_Institution :
Gippsland Sch. of Comput. & Info Tech., Monash Univ., Churchill, Vic., Australia
Volume :
1
fYear :
2002
fDate :
2002
Firstpage :
425
Abstract :
Shape description is one of the key parts of image content description in MPEG-7. Most existing shape descriptors are usually either application dependent or non-robust, making them undesirable for generic shape description. A generic Fourier descriptor (GFD) is proposed to overcome the drawbacks of existing shape representation techniques. The proposed shape descriptor is derived by applying a 2D Fourier transform on a polar raster sampled shape image. The acquired shape descriptor is application independent and robust. Experimental results show the GFD outperforms the Zernike moment descriptor (ZMD) which has been proposed as the shape descriptor for MPEG-7.
Keywords :
Fourier transforms; content-based retrieval; image representation; image retrieval; image sampling; vocabulary; 2D Fourier transform; CBIR; MPEG-7; Zernike moment descriptor; content based retrieval; generic Fourier descriptor; image content description; image sampling; shape representation; shape-based image retrieval; Digital images; Fourier transforms; Image retrieval; MPEG 7 Standard; Moment methods; Pattern analysis; Robustness; Shape;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia and Expo, 2002. ICME '02. Proceedings. 2002 IEEE International Conference on
Print_ISBN :
0-7803-7304-9
Type :
conf
DOI :
10.1109/ICME.2002.1035809
Filename :
1035809
Link To Document :
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