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

1999

@article{PaF1999,
	vgclass =	{refpap},
	vgproject =	{cbir},
	author =	{E. J. Pauwels and G. Frederix},
	title =	{Finding Salient Regions in Images: Nonparametric
	Clustering for Image Segementation and Grouping},
	journal =	{Computer Vision and Image Understanding (special issue on content-based access for image
	and video libraries)},
	volume =	{75},
	number =	{1/2},
	pages =	{73--85},
	month =	{July/August},
	year =	{1999},
	url =	{http://www.esat.kuleuven.ac.be/\~{}frederix/clustering_cviu99.ps.gz},
	abstract =	{A major problem in content-based image retrieval (CBIR) is
	the unsupervised identification of perceptually salient regions in
	images. We contend that this problem can be tackled by mapping the
	pixels into various feature-spaces, whereupon they are subjected to a
	grouping algorithm. In this paper we develop a robust and versatile
	nonparametric clustering algorithm that is able to handle the
	unbalanced and highly irregular clusters encountered in such CBIR
	applications. The strength of our approach lies not so much in the
	clustering itself, but rather in the definition and use of two
	cluster-validity indices that are independent of the cluster topology.
	By combining them, an optimal clustering can be identified, and
	experiments confirm that the associated clusters do, indeed, correspond
	to perceptually salient image regions.},
}