Tile classification using the CIELAB color model

Anagnostopoulos, C-N; Koutsonas, A; Anagnostopoulos, I; Loumos, V; Kayafas, E

dc.contributor.author	Anagnostopoulos, C-N	en
dc.contributor.author	Koutsonas, A	en
dc.contributor.author	Anagnostopoulos, I	en
dc.contributor.author	Loumos, V	en
dc.contributor.author	Kayafas, E	en
dc.date.accessioned	2014-03-01T02:43:37Z
dc.date.available	2014-03-01T02:43:37Z
dc.date.issued	2005	en
dc.identifier.issn	0302-9743	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/31490
dc.subject	Color Model	en
dc.subject	Color Space	en
dc.subject	Image Processing	en
dc.subject.classification	Computer Science, Theory & Methods	en
dc.subject.other	Intra-observer variability	en
dc.subject.other	Tile shade classification	en
dc.subject.other	Algorithms	en
dc.subject.other	Classification (of information)	en
dc.subject.other	Color	en
dc.subject.other	Tile	en
dc.title	Tile classification using the CIELAB color model	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1007/11428831_86	en
heal.identifier.secondary	http://dx.doi.org/10.1007/11428831_86	en
heal.language	English	en
heal.publicationDate	2005	en
heal.abstract	An image processing algorithm was developed for tile shade classification on the basis of quantitative measurements in CIELAB color space. A total of 50 tile images of 10 types were recorded, and evaluated with the proposed algorithm in comparison with the conventional classification method. The objectivity of the method is based on the fact that it is not subject to inter- and intra-observer variability arising from human's profile of competency in interpreting subjective and non-quantifiable descriptions. © Springer-Verlag Berlin Heidelberg 2005.	en
heal.publisher	SPRINGER-VERLAG BERLIN	en
heal.journalName	Lecture Notes in Computer Science	en
heal.bookName	Lecture Notes in Computer Science	en
dc.identifier.doi	10.1007/11428831_86	en
dc.identifier.isi	ISI:000230414400086	en
dc.identifier.volume	3514	en
dc.identifier.issue	I	en
dc.identifier.spage	695	en
dc.identifier.epage	702	en