Institutul de Matematică şi Informatică "Vladimir Andrunachievici"
Universitatea de Stat din MoldovaRO EN
Optic Disc Identification Methods for Retinal Images
Authors: Florin Rotaru, Silviu Ioan Bejinariu, Cristina Diana Niță, Ramona Luca, Camelia Lazăr
Keywords: optic disc, retinal images, vessel segmentation, Hough transform.
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Keywords: optic disc, retinal images, vessel segmentation, Hough transform.
Abstract
Presented are the methods proposed by authors to identify and model the optic disc in colour retinal images. The first three our approaches localized the optic disc in two steps: a) in the green component of RGB image the optic disc area is detected based on texture indicators and pixel intensity variance analysis; b) on the segmented area the optic disc edges are extracted and the resulted boundary is approximated by a Hough transform. The last implemented method identifies the optic disc area by analysis of blood vessels network extracted in the green channel of the original image. In the segmented area the optic disc edges are obtained by an iterative Canny algorithm and are approximated by a circle Hough transform.Institute of Computer Science, Romanian Academy,
Iasi Branch, Romania
E-mail: , , , ,
Iasi Branch, Romania
E-mail: , , , ,
Fulltext
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Contents
- Recent trends in Medical Image Processing Editorial (Preface) for a special issue of Computer Science Journal of Moldova
- Detection of Blood Vessels in Retinal Fundus Images
- Optic Disc Identification Methods for Retinal Images
- Characterization and pattern recognition of color images of dermatological ulcers: a pilot study
- A platform for Image Reconstruction in X-ray Imaging: Medical Applications using CBCT and DTS algorithms
- Parallel Processing and Bio-inspired Computing for Biomedical Image Registration
- A New Algorithm for Localized Motif Detection in Long DNA Sequences
