Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/212749
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DC FieldValueLanguage
dc.coverage.spatialComputer Science
dc.date.accessioned2018-08-20T11:42:00Z-
dc.date.available2018-08-20T11:42:00Z-
dc.identifier.urihttp://hdl.handle.net/10603/212749-
dc.description.abstractAdvanced integration and deployment of computer networking technologies enabled a newlinesudden explosion in the number of ever increasing different types of internet based contents e.g. digital images , audio and video contents etc. Therefore, it leads to a situation where retrieval of those complex data in a short period of time becomes more challenging. As a newlineprimary consequence there is an immense need to develop a novel technique well capable of retrieving such complex information based on their respective content or features. The traditional paradigms found more likely to incorporate keyword annotation based image retrieval methods. newline newline
dc.format.extent238p.
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleHybrid CBIR frame work for medical image dataset using knowledge based resemblance synthesis filtering and mechanism of contribution
dc.title.alternative
dc.creator.researcherShivamurthy R C
dc.subject.keywordCBIR
dc.subject.keywordMedical Image Dataset
dc.description.noteReferences 134 - 140p.
dc.contributor.guideManjunatha M B
dc.publisher.placeBengaluru
dc.publisher.universityJain University
dc.publisher.institutionDepartment of Computer Science Engineering
dc.date.registered30/09/2014
dc.date.completed04/08/2018
dc.date.awarded17/08/2018
dc.format.dimensions
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Computer Science Engineering

Files in This Item:
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01.titlepage.pdfAttached File157.39 kBAdobe PDFView/Open
02.declaration.pdf143.5 kBAdobe PDFView/Open
03.certificate.pdf165.37 kBAdobe PDFView/Open
04.acknowledgement.pdf87.85 kBAdobe PDFView/Open
05.abstract.pdf85.57 kBAdobe PDFView/Open
06.contents.pdf186 kBAdobe PDFView/Open
07.list of figures & tables.pdf201.95 kBAdobe PDFView/Open
08.chapter 1.pdf286.42 kBAdobe PDFView/Open
09.chapter 2.pdf279.3 kBAdobe PDFView/Open
10.chapter 3.pdf2.67 MBAdobe PDFView/Open
11.chapter 4.pdf2.79 MBAdobe PDFView/Open
12.chapter 5.pdf1.94 MBAdobe PDFView/Open
13.chapter 6.pdf193.85 kBAdobe PDFView/Open
14.references.pdf109.45 kBAdobe PDFView/Open


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