Hybrid Fuzzy Clustering Technique using Random based Optimization for Segmenting MRI Brain Images

dc.contributor.guide	Subhashini P
dc.coverage.spatial
dc.creator.researcher	Jansi S
dc.date.accessioned	2016-03-21T09:56:08Z
dc.date.available	2016-03-21T09:56:08Z
dc.date.awarded	15/03/2016
dc.date.completed	15/07/2015
dc.date.registered	05/08/2010
dc.description.abstract	Objective To efficiently segment tissues from cerebral regions using clustering techniques To considerably improve the accuracy of adopted segmentation methods using optimization techniques newlineTo achieve intensified tissue separation by improving the proposed optimization techniques To evaluate the proposed segmentation methods on MRI images with and without noise
dc.description.note
dc.format.accompanyingmaterial	DVD
dc.format.dimensions	210 X 290 mm
dc.format.extent	226
dc.identifier.uri	http://hdl.handle.net/10603/77070
dc.language	English
dc.publisher.institution	Department of Computer Science
dc.publisher.place	Coimbatore
dc.publisher.university	Avinashilingam Deemed University For Women
dc.relation	References / 278
dc.rights	university
dc.source.university	University
dc.subject.keyword	Segmentation
dc.subject.keyword	Optimization techniques
dc.subject.keyword	Random based optimization
dc.subject.keyword	MRI brain images
dc.title	Hybrid Fuzzy Clustering Technique using Random based Optimization for Segmenting MRI Brain Images
dc.title.alternative
dc.type.degree	Ph.D.