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Texture Analysis of Ophthalmologic Images

By Jan Kaňka


This thesis is concerned with creating of software for textural analysis of retinal images by statistic method called co-occurrence matrices as possible alternative method to detection of lesion of retina by the glaucoma diseases. The Glaucoma diseases without well-timed diagnostics and consequential treatment leads to blindness. The retinal images captured by fundus camera are common, easily processable and modern devices are able to make images of 10 Mpix resolution and bigger, what specifies outputs of analytic software. Method of co-occurrence analysis is simple and effective statistic. But computing demandingness, showing up with growing objective quality, comming up as disadvantage

Topics: texturní analýza; sítnice; glaucoma; entropie; textural analysis; fundus camera; correlation coefficient; statistika; retina; statistic; opthalmology; fundus kamera; korelační koeficienty; entropy; oftalmologie; co-occurrence matrix; glaukom
Publisher: Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií
Year: 2010
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