Texture Classification Using Scale Invariant Feature Transform and Bag-of-Words

dc.contributor.author	Budak, Umit
dc.contributor.author	Sengur, Abdulkadir
dc.date.accessioned	2021-12-16T09:07:56Z
dc.date.available	2021-12-16T09:07:56Z
dc.date.issued	2015
dc.identifier.isbn	978-1-4673-7386-9
dc.identifier.issn	2165-0608
dc.identifier.uri	http://dspace.beu.edu.tr:8080/xmlui/handle/20.500.12643/10562
dc.description.abstract	Texture images can be characterized with key features extracted from images. In this way, they can be qualified with distinctive features. In this paper, a feature-based approach is presented for texture classification using Scale Invariant Feature Transf
dc.language.iso	Turkish
dc.publisher	Ieee
dc.relation.ispartof	23nd Signal Processing and Communications Applications Conference (SIU)
dc.source	2015 23Rd Sıgnal Processıng And Communıcatıons Applıcatıons Conference (Sıu)
dc.title	Texture Classification Using Scale Invariant Feature Transform and Bag-of-Words
dc.type	Proceedings Paper
dc.identifier.startpage	152
dc.identifier.endpage	155
dc.identifier.wos	WOS:000380500900017

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