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2016 | OriginalPaper | Buchkapitel

Automatic Optic Disc and Fovea Detection in Retinal Images Using Super-Elliptical Convergence Index Filters

verfasst von : Behdad Dashtbozorg, Jiong Zhang, Fan Huang, Bart M. ter Haar Romeny

Erschienen in: Image Analysis and Recognition

Verlag: Springer International Publishing

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Abstract

This paper presents an automatic optic disc (OD) and fovea detection technique using an innovative super-elliptical filter (SEF). This filter is suitable for the detection of semi-elliptical convex shapes and as such it performs well for the OD localization. Furthermore, we introduce a setup for the simultaneous localization of the OD and fovea, in which the detection result of one landmark facilitates the detection of the other one. The evaluation is performed on 1200 images of the MESSIDOR dataset containing both normal and pathological cases of diabetic retinopathy (DR) and macular edema (ME). The proposed approach achieves success rates of 99.75 % and 98.87 % for the OD and fovea detection, respectively and outperforms or equals all known similar methods.

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Vorheriges Kapitel A Hybrid Model for Extracting the Aortic Valve in 3D Computerized Tomography and Its Application to Calculate a New Calcium Score Index

Nächstes Kapitel Age-Related Macular Degeneration Detection and Stage Classification Using Choroidal OCT Images

MESSIDOR: Methods for Evaluating Segmentation and Indexing techniques Dedicated to Retinal Ophthalmology (2004). http://messidor.crihan.fr

Expert system for early automated detection of DR by analysis of digital retinal images project website (2012). http://www.uhu.es/retinopathy/muestras2.php

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Titel: Automatic Optic Disc and Fovea Detection in Retinal Images Using Super-Elliptical Convergence Index Filters
verfasst von: Behdad Dashtbozorg
Jiong Zhang
Fan Huang
Bart M. ter Haar Romeny
Verlag: Springer International Publishing
Buch: Image Analysis and Recognition
Print ISBN: 978-3-319-41500-0

Electronic ISBN: 978-3-319-41501-7

Copyright-Jahr: 2016
DOI: https://doi.org/10.1007/978-3-319-41501-7_78

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