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dc.coverage.spatialInformation and Communication Engineeringen_US
dc.description.abstractColour fundus images of the human retina are increasingly used in newlinethe diagnosis and treatment of several eye related pathologies and in ailments newlinesuch as diabetes hypertension and arteriosclerosis The effectiveness of newlinetreatment for many eye related diseases lies in the early detection through newlineregular screenings But screening a large number of patients is a significant newlineproblem faced by medical practitioners in populous developing countries like newlineIndia Moreover there are large influences of human errors and subjectivity newlineon the results of inspection by a human expert This opens up the possibility newlineof applying digital image processing techniques in fundus images to facilitate newlineand improve diagnosis in different ways Thus computer aided analysis and newlineautomatic detection of pathologies in retinal images play a major role in newlinemodern diagnostic procedures and screening systems Reliable and robust newlineextraction of retinal features like optic disc macula and vasculature is a newlineprerequisite for subsequent retinal image analysis and processing since these newlineare the predominant and most stable structures appearing in the retina newlineen_US
dc.format.extentxxviii, 172p.en_US
dc.titleFeature detection and extraction in colour fundus images of the human retina using bitplane decomposition and mathematical morphologyen_US
dc.creator.researcherAshokkumar, Ten_US
dc.subject.keywordColour fundus imagesen_US
dc.subject.keywordHuman retinaen_US
dc.subject.keywordInformation and communication engineeringen_US
dc.description.noteAppendix p.145-159, References p.160-170.en_US
dc.contributor.guideVarghese, Paulen_US
dc.publisher.universityAnna Universityen_US
dc.publisher.institutionFaculty of Information and Communication Engineeringen_US
Appears in Departments:Faculty of Information and Communication Engineering

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02_certificate.pdf874.15 kBAdobe PDFView/Open
03_abstract.pdf9.34 kBAdobe PDFView/Open
04_acknowledgement.pdf6.43 kBAdobe PDFView/Open
05_contents.pdf24.35 kBAdobe PDFView/Open
06_chapter1.pdf42.74 kBAdobe PDFView/Open
07_chapter2.pdf267.8 kBAdobe PDFView/Open
08_chapter3.pdf109.22 kBAdobe PDFView/Open
09_chapter4.pdf261.15 kBAdobe PDFView/Open
10_chapter5.pdf4.28 MBAdobe PDFView/Open
11_chapter6.pdf893.83 kBAdobe PDFView/Open
12_chapter7.pdf38.89 kBAdobe PDFView/Open
13_appendix.pdf3.2 MBAdobe PDFView/Open
14_references.pdf94.65 kBAdobe PDFView/Open
15_publications.pdf41.61 kBAdobe PDFView/Open
16_vitae.pdf5.35 kBAdobe PDFView/Open

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