DocumentCode
2879866
Title
Enhanced Generic Fourier Descriptors for object-based image retrieval
Author
Zhang, Dengsheng ; Lu, Guojun
Author_Institution
Gippsland School of Computing and Info Tech, Monash University, Churchill, Victoria 3842, Australia
Volume
4
fYear
2002
fDate
13-17 May 2002
Abstract
Shape (object) description consists a key part of image content description in MPEG-7. Most of existing shape descriptors are usually either application dependent or non-robust, making them undesirable for generic shape description. In this paper, an Enhanced Generic Fourier Descriptor (EGFD) is presented to overcome the drawbacks of existing shape representation techniques. The EGFD is obtained based on our previously proposed Generic Fourier Descriptors (GFD). It is acquired by deriving GFD from the rotation and scale normalized shape. Experimental results show that the proposed EGFD outperforms GFD and Zernike moments descriptors (ZMD) significantly.
Keywords
IEC; ISO; Robustness; Transform coding; CBIR; Generic Fourier descriptors; retrieval; shape;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing (ICASSP), 2002 IEEE International Conference on
Conference_Location
Orlando, FL, USA
ISSN
1520-6149
Print_ISBN
0-7803-7402-9
Type
conf
DOI
10.1109/ICASSP.2002.5745451
Filename
5745451
Link To Document