Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/69794
Título: An imaging algorithm for rotation invariant automated macula localization in digital fundus images
Autores/as: Bhattacharya, Sayantan
Sehgal, Jai
Sengar, Namita
Dutta, Malay Kishore
Travieso-González, Carlos M. 
Clasificación UNESCO: 220990 Tratamiento digital. Imágenes
Palabras clave: Fundus Image
Macula
Optic Disc(Od)
Rotation Invariant
Fecha de publicación: 2018
Publicación seriada: Frontiers in Artificial Intelligence and Applications 
Conferencia: 1st International Conference on Applications of Intelligent Systems, APPIS 2018 
Resumen: All rights reserved. The Macula is one of the important parts of the retina of the human eye, responsible for sharp central vision. Detection of the macula is an important task for an automated screening tool for different ocular pathologies. The proposed method presents an imaging method detect macula from fundus images automatically and which is invariant to image rotation. The proposed method includes a strategic region based method based on an adaptive arc which is used to detect macula efficiently. For experimentation purposes, normal and affected fundus images were collected from a local eye hospital to test the performance of the proposed method and achieved encouraging results. The method proposed for the detection of the macula is accurate, efficient and hence can be used in real time automated screening of various eye diseases.
URI: http://hdl.handle.net/10553/69794
ISBN: 9781614999287
ISSN: 0922-6389
DOI: 10.3233/978-1-61499-929-4-345
Fuente: Frontiers in Artificial Intelligence and Applications[ISSN 0922-6389],v. 310, p. 345-352
Colección:Actas de congresos
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