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
is an important image feature, it is one of the primary low level image
features exploited in content-based image retrieval (CBIR). There are
generally two types of shape descriptors in the literature: contour-based
shape descriptors and region-based shape descriptors. In MPEG-7, curvature
scale space descriptor (CSSD) and Zernike moment descriptor (ZMD) have been
adopted as contour-based shape descriptor and region-based shape descriptor
respectively. In this paper, the two shape descriptors are evaluated against
other shape descriptors, the two shape descriptors are also evaluated
against each other. Standard methodology is used in the evaluation.
Specifically, we use standard databases, large datasets and query sets,
commonly used performance measurement and guided principles. A Java based
client-server retrieval framework has been implemented to facilitate the
evaluation. Results show that Fourier descriptor (FD) outperforms CSSD. CSSD
can be replaced by either FD or ZMD.