A study on morphological watershed image segmentation algorithms and their applications to cervical cytological images

dc.contributor.guideKrishnan, N
dc.coverage.spatialInformation Technology-Computer Science and Engineering
dc.creator.researcherKrishnaveni, K
dc.date.accessioned2017-01-30T08:22:25Z
dc.date.available2017-01-30T08:22:25Z
dc.date.awardedn.d.
dc.date.completed2009
dc.date.registeredn.d.
dc.description.abstractAbstract not available newline newline
dc.description.noteBibliography p. 201-212
dc.format.accompanyingmaterialNone
dc.format.dimensions-
dc.format.extentxxiv, 212p.
dc.identifier.urihttp://hdl.handle.net/10603/131118
dc.languageEnglish
dc.publisher.institutionDepartment of Information Technology and Engineering
dc.publisher.placeTirunelveli
dc.publisher.universityManonmaniam Sundaranar University
dc.relationNo. of references 103
dc.rightsuniversity
dc.source.universityUniversity
dc.subject.keywordThresholding techniques, Geodesic transformations, Watershed segmentation, Cervical cancer
dc.titleA study on morphological watershed image segmentation algorithms and their applications to cervical cytological images
dc.title.alternative-
dc.type.degreePh.D.

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