A Detection-Theoretic Approach to Texture and Edge Discrimination

Kokkinos, I; Maragos, P

dc.contributor.author	Kokkinos, I	en
dc.contributor.author	Maragos, P	en
dc.date.accessioned	2014-03-01T01:54:05Z
dc.date.available	2014-03-01T01:54:05Z
dc.date.issued	2005	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/27189
dc.relation.uri	http://www.macs.hw.ac.uk/texture2005/programme/papers/036.pdf	en
dc.relation.uri	http://cvsp.cs.ntua.gr/jkokkin/KokkinosMaragos_discrimination_TW05.pdf	en
dc.subject	Edge Detection	en
dc.subject	Feature Detection	en
dc.subject	Image Segmentation	en
dc.subject	Natural Images	en
dc.subject	Probabilistic Approach	en
dc.title	A Detection-Theoretic Approach to Texture and Edge Discrimination	en
heal.type	journalArticle	en
heal.publicationDate	2005	en
heal.abstract	We present a probabilistic approach to the discrimina- tion between textured areas and edges; locally defined prob- abilistic models are used, which model textured areas as si- nusoidal and edges as phase-congruent signals. We build a link with energy-based feature detection and propose a simple approach to the discrimination between these two classes. This facilitates the selective use of texture/edge	en