Open AccessAN IMAGE-PROCESSING TECHNIQUE FOR GLAUCOMA DETECTION ON THE BASIS OF OPHTHALMIC IMAGES
Author(s) -
Maroua Ben Mansour,
Yosra Mlouhi,
Imed Jabri,
Tahar Battikh,
Lotfi Maalej,
Mohamed Najeh Lakhoua
Publication year - 2015
Publication title -
computing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.184
H-Index - 11
eISSN - 2312-5381
pISSN - 1727-6209
DOI - 10.47839/ijc.14.3.815
Subject(s) - hough transform , computer vision , artificial intelligence , computer science , edge detection , glaucoma , canny edge detector , major duodenal papilla , image processing , fundus (uterus) , digital image , optic disc , image (mathematics) , ophthalmology , medicine , anatomy
In this paper, a new strategy of observation and analysis of the ophthalmologic images in order to detect the glaucoma is presented. In fact, we have treated the imagery applied to the Retina and we were able to develop some algorithm of digital image treatment, and the motif analysis techniques for the detection of the optic disc. And to do this, we have exploited the pretreatment of the image techniques such as morphological filters to improve the quality of the image and the Canny filter for the edge detection. Under the framework of the detection of circular shapes, we have opted the use of Algorithm which is the most famous detector of shapes and Hough Transform to detect the Papilla and Excavation. All these images will be applied on the fundus in order to create software illustrating some techniques of the image treatment, capable of determining precisely the relationship between the excavation diameter and the Papilla diameter which is a determining factor in the diagnosis of the Glaucoma.