Enhanced Generic Fourier Descriptors For Object-Based Image Retrieval

Dengsheng Zhang and Guojun Lu
Gippsland School of Computing and Information Technology
Monash University
Churchill, Victoria 3842
Australia

Tel: 61-3-9902 6772
Fax: 61-3-9902 6842
Email: dengsheng.zhang, guojun.lu@infotech.monash.edu.au

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 Descriptor (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. (full paper)

Key words:Generic Fourier descriptors, shape, CBIR, retrieval.