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Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/425

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contributor.authorPatra, D-
contributor.authorNanda, P.K. (Guide)-
date.accessioned2007-04-23T05:37:57Z-
date.available2007-04-23T05:37:57Z-
date.issued2007-04-23T05:37:57Z-
identifier.urihttp://hdl.handle.net/2080/425-
descriptionCopyright for this Thesis belongs to National Institute of Technology, Rourkela, Indiaen
description.abstractThe Problem of image segmentaion has been investigated with a focus on brian Magnetic Resonance (MR) image segmentation. Brain tissue is a complex structure and hence proper diagnosis of many brain disorders greatly depends upon accurate segmentation of the three brain tissues namely, white matter (WM) , grey Matter (GM) , and cerebrospinal Fluid (CSF) in brain MR Image. The prime objective of this thesis work is to devise novel strategies and methodologies for an automated brain MR image segmentation scheme......en
format.extent2827170 bytes-
format.mimetypeapplication/pdf-
language.isoen-
subjectImage Segmentationen
subjectMagnetic Resonance Imageen
subjectHidden Markov Random Field Modelen
subjectHybrid Tabu Searchen
titleBrain MR Image Segmentation Using Markov Random Field Model and Tabu Search Strategyen
typeThesisen
Appears in Collections:Thesis (Doctor of Philosophy)

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