1. Shodhganga@INFLIBNET
  2. Indian Institute of Technology Guwahati
  3. DEPARTMENT OF ELECTRONICS AND ELECTRICAL ENGINEERING
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/482279
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dc.coverage.spatialElectronics and Electrical Engineering
dc.date.accessioned2023-05-11T04:32:17Z-
dc.date.available2023-05-11T04:32:17Z-
dc.identifier.urihttp://hdl.handle.net/10603/482279-
dc.description.abstractThis thesis work is an investigation of multiscale analysis of diagnostic features of the color fundus images Analysis of diagnostic features is done in the multiscale domain by wavelet transform There are three major contributions First the different wavelet subbands are investigated for the presence of retinal features such as exudates and microaneurysms Secondly the pathological features are extracted Blood vessels are extracted by using Kirsch and Gaussian matched filter MF based me
dc.format.extentNot Available
dc.languageEnglish
dc.relationNot Available
dc.rightsself
dc.titleMultiscale analysis of diagnostic features from color fundus images
dc.title.alternativeNot available
dc.creator.researcherNath, Malaya Kumar
dc.subject.keywordEngineering
dc.subject.keywordEngineering and Technology
dc.subject.keywordEngineering Electrical and Electronic
dc.description.noteNot Available
dc.contributor.guideDandapat, Samarendra
dc.publisher.placeGuwahati
dc.publisher.universityIndian Institute of Technology Guwahati
dc.publisher.institutionDEPARTMENT OF ELECTRONICS AND ELECTRICAL ENGINEERING
dc.date.registered2009
dc.date.completed2015
dc.date.awarded2015
dc.format.dimensionsNot Available
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:DEPARTMENT OF ELECTRONICS AND ELECTRICAL ENGINEERING

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