Refereed full papers (journals, book chapters, international conferences)

2005

@article{ZhL2005,
	vgclass =	{refpap},
	author =	{Dengsheng Zhang and Guojun Lu},
	title =	{Study and evaluation of different {F}ourier methods for
	image retrieval},
	journal =	{Image and Vision Computing},
	volume =	{23},
	number =	{1},
	pages =	{33--49},
	month =	{January},
	year =	{2005},
	url =	{http://dx.doi.org/10.1016/j.imavis.2004.09.001},
	abstract =	{Shape is one of the primary low-level image features
	exploited in the newly emerged content-based image retrieval (CBIR).
	Many shape methods exist. Among these shape methods, Fourier descriptor
	(FD) is one of the most widely used shape descriptors due to its simple
	computation, clarity and coarse to fine description capability. FD has
	been applied to a variety of applications, including image retrieval
	application. Generally, FD can be acquired in a number of ways,
	however, FD acquired from different ways can have different retrieval
	performance. In this paper, we study shape retrieval using FD.
	Specifically, we study different ways of acquiring FD, the number of FD
	features needed for general shape description and the retrieval
	performance of different FD. A Java client-server retrieval framework
	has been developed to facilitate the study. The retrieval performance
	of the different FD is tested using a standard shape database and a
	commonly used performance measurement.},
}