MORPHOLOGICAL FILTERING FOR IMAGE ENHANCEMENT AND FEATURE DETECTION

Maragos, P

dc.contributor.author	Maragos, P	en
dc.date.accessioned	2014-03-01T01:54:17Z
dc.date.available	2014-03-01T01:54:17Z
dc.date.issued	2005	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/27290
dc.relation.uri	http://cvsp.cs.ntua.gr/publications/jpubl+bchap/Maragos_MFIEFD_ImVidHbook2_chap3-3_AcadPress2005.pdf	en
dc.subject	Binary Image	en
dc.subject	Design Methodology	en
dc.subject	Feature Detection	en
dc.subject	Geometric Approach	en
dc.subject	Geometric Feature	en
dc.subject	Geometric Structure	en
dc.subject	Image Analysis	en
dc.subject	Image Enhancement	en
dc.subject	Image Features	en
dc.subject	Image Processing	en
dc.subject	Linear System	en
dc.subject	Mathematical Morphology	en
dc.subject	Nonlinear Filter	en
dc.subject	Pattern Recognition	en
dc.subject	Signal Processing	en
dc.subject	Template Matching	en
dc.subject	Cellular Automata	en
dc.subject	Threshold Logic	en
dc.title	MORPHOLOGICAL FILTERING FOR IMAGE ENHANCEMENT AND FEATURE DETECTION	en
heal.type	journalArticle	en
heal.publicationDate	2005	en
heal.abstract	The goals of image enhancement include the improvement of the visibility and perceptibility of the various regions into which an image can be partitioned and of the detectability of the image features inside these regions. These goals include tasks such as: cleaning the image from various types of noise; enhancing the contrast among adjacent regions or features; simplifying the image	en