Multiscale analysis of diagnostic features from color fundus images

dc.contributor.guide	Dandapat, Samarendra
dc.coverage.spatial	Electronics and Electrical Engineering
dc.creator.researcher	Nath, Malaya Kumar
dc.date.accessioned	2023-05-11T04:32:17Z
dc.date.available	2023-05-11T04:32:17Z
dc.date.awarded	2015
dc.date.completed	2015
dc.date.registered	2009
dc.description.abstract	This 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.description.note	Not Available
dc.format.accompanyingmaterial	None
dc.format.dimensions	Not Available
dc.format.extent	Not Available
dc.identifier.uri	http://hdl.handle.net/10603/482279
dc.language	English
dc.publisher.institution	DEPARTMENT OF ELECTRONICS AND ELECTRICAL ENGINEERING
dc.publisher.place	Guwahati
dc.publisher.university	Indian Institute of Technology Guwahati
dc.relation	Not Available
dc.rights	self
dc.source.university	University
dc.subject.keyword	Engineering
dc.subject.keyword	Engineering and Technology
dc.subject.keyword	Engineering Electrical and Electronic
dc.title	Multiscale analysis of diagnostic features from color fundus images
dc.title.alternative	Not available
dc.type.degree	Ph.D.