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ISSAC, A. SENGAR, N. SINGH, A. DUTTA, M. PŘINOSIL, J. ŘÍHA, K.
Originální název
An Efficient Imaging Technique for Automated Macula Localization from Fundus Images
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
Localization of macula from fundus image plays an important role to design an automated screening tool for detection of retinal diseases. The similar color and texture of red lesions act as a bottleneck in accurate localization of macula in the fundus image. This paper presents a computer vision algorithm for automated and efficient localization of macula from low contrast and diabetic retinopathy affected fundus images. A statistical based model is used to detect macula in a specified region of fundus image which is designed using the geometric features of optic disc. The performance of the proposed algorithm of macula detection was tested on 200 normal/affected fundus images and results are significant. The computational efficiency and accurate localization of macula makes the proposed method competent enough to be used as a part of an automated screening tool for detection of retinal diseases.
Klíčová slova
Fundus Image; Macula; Optic Disc; Retinal Diseases; Statistical features
Autoři
ISSAC, A.; SENGAR, N.; SINGH, A.; DUTTA, M.; PŘINOSIL, J.; ŘÍHA, K.
Vydáno
18. 10. 2016
ISBN
978-1-4673-8817-7
Kniha
8th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops - ICUMT
Strany od
387
Strany do
391
Strany počet
5
URL
https://ieeexplore.ieee.org/document/7765390
BibTex
@inproceedings{BUT129290, author="Ashish {Issac} and Namita {Sengar} and Anushikha {Singh} and Malay Kishore {Dutta} and Jiří {Přinosil} and Kamil {Říha}", title="An Efficient Imaging Technique for Automated Macula Localization from Fundus Images", booktitle="8th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops - ICUMT", year="2016", pages="387--391", doi="10.1109/ICUMT.2016.7765390", isbn="978-1-4673-8817-7", url="https://ieeexplore.ieee.org/document/7765390" }