AN IMAGE-PROCESSING TECHNIQUE FOR GLAUCOMA DETECTION ON THE BASIS OF OPHTHALMIC IMAGES

Authors

  • Maroua Ben Mansour
  • Yosra Mlouhi
  • Imed Jabri
  • Tahar Battikh
  • Lotfi Maalej
  • Mohamed Najeh Lakhoua

DOI:

https://doi.org/10.47839/ijc.14.3.815

Keywords:

Ophthalmologic images analysis, Glaucoma, Papilla, Techniques of image pretreatment, Canny filter, Hough Transform, Excavation.

Abstract

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.

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Published

2015-09-30

How to Cite

Ben Mansour, M., Mlouhi, Y., Jabri, I., Battikh, T., Maalej, L., & Lakhoua, M. N. (2015). AN IMAGE-PROCESSING TECHNIQUE FOR GLAUCOMA DETECTION ON THE BASIS OF OPHTHALMIC IMAGES. International Journal of Computing, 14(3), 165-171. https://doi.org/10.47839/ijc.14.3.815

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