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