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
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;
Conference_Titel :
Acoustics, Speech, and Signal Processing (ICASSP), 2002 IEEE International Conference on
Conference_Location :
Orlando, FL, USA
Print_ISBN :
0-7803-7402-9
DOI :
10.1109/ICASSP.2002.5745451