Color image filters: The vector directional approach

Plataniotis, KN; Androutsos, D; Venetsanopoulos, AN

dc.contributor.author	Plataniotis, KN	en
dc.contributor.author	Androutsos, D	en
dc.contributor.author	Venetsanopoulos, AN	en
dc.date.accessioned	2014-03-01T01:45:54Z
dc.date.available	2014-03-01T01:45:54Z
dc.date.issued	1997	en
dc.identifier.issn	00913286	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/24782
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-0010229226&partnerID=40&md5=690b31916342a86a80fe4e11f152fa98	en
dc.subject	Adaptive techniques	en
dc.subject	Color image processing	en
dc.subject	Distance criteria	en
dc.subject	Multichannel filters	en
dc.title	Color image filters: The vector directional approach	en
heal.type	journalArticle	en
heal.publicationDate	1997	en
heal.abstract	Processing of color image data using directional information has received increased attention lately due to the introduction of the vector directional filters. These rank-ordered type filters utilize the direction of color vectors to enhance, restore and segment color images. First, the different vector directional filters already in use are presented, focusing on their similarities and differences and, second, new adaptive vector directional filters are introduced. Fuzzy as well as nearest neighbor structures are utilized to determine the weights in the proposed adaptive filters. Simulation studies involving color images are used to assess the performance of the different vector directional filters and to compare them win other commonly used nonlinear filters. The simulation studies reported indicate that the new adaptive filters are computationally attractive and have excellent performance. © 1997 Society of Photo-Optical Instrumentation Engineers.	en
heal.journalName	Optical Engineering	en
dc.identifier.volume	36	en
dc.identifier.issue	9	en
dc.identifier.spage	2375	en
dc.identifier.epage	2383	en