Improved texture classification using artificial bee colony algorithm and rearrangement matrix method

Please use this identifier to cite or link to this item: http://umt-ir.umt.edu.my:8080/handle/123456789/14672

Full metadata record

DC Field	Value	Language
dc.contributor.author	Fthi M A Albkosh	-
dc.date.accessioned	2021-03-22T06:30:42Z	-
dc.date.available	2021-03-22T06:30:42Z	-
dc.date.issued	2020-02	-
dc.identifier.issn	1100109852	-
dc.identifier.uri	http://umt-ir.umt.edu.my:8080/jspui/handle/123456789/14672	-
dc.description.abstract	Texture plays an important role in identifying objects or regions of an image. Texture classification is a very challenging task because texture patterns are mostly random with wide variations of appearances.	en_US
dc.language.iso	en	en_US
dc.publisher	Universiti Malaysia Terengganu	en_US
dc.subject	TA 1637.5 .A4 2020	en_US
dc.subject	Improved texture classification using artificial bee colony algorithm and rearrangement matrix method	en_US
dc.subject	Fthi M A Albkosh	en_US
dc.title	Improved texture classification using artificial bee colony algorithm and rearrangement matrix method	en_US
dc.type	Thesis	en_US
Appears in Collections:	Institut Oseanografi

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