Enhanced generic fourier descriptors for object-based image retrieval

被引:0
|
作者
Zhang, DS [1 ]
Lu, GJ [1 ]
机构
[1] Monash Univ, Gippsland Sch Comp & Info Tech, Churchill, Vic 3842, Australia
关键词
generic Fourier descriptors; shape; CBIR; retrieval;
D O I
暂无
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
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.
引用
收藏
页码:3668 / 3671
页数:2
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