Enhancement of exudates for the diagnosis of diabetic retinopathy using fuzzy morphology
Date
2008
Authors
Mansoor, A.B.
Khan, Z.
Khan, A.
Khan, S.A.
Editors
Advisors
Journal Title
Journal ISSN
Volume Title
Type:
Conference paper
Citation
IEEE international multitopic conference: Conference proceedings, 2008, iss.4777722, pp.128-131
Statement of Responsibility
Conference Name
12th IEEE international multitopic conference, IEEE INMIC 2008 (23 Dec 2008 - 24 Dec 2008 : Karachi, Pakistan)
Abstract
This paper presents a novel algorithm based on Fuzzy Morphology for the computer-assisted enhancement of exudates in fundus images of human retina for the diagnosis of diabetic retinopathy. Diabetic retinopathy is a common disease in diabetic persons. The disease is diagnosed by the presence of exudates in the macular region. Here, we use Fuzzy Morphology for the enhancement of exudates. The fundus image is first converted to gray scale followed by a series of fuzzy erosion and fuzzy dilation (morphological closing operation) with a diamond shaped structuring element. Finally, the resulting image is added to the original image to transform into enhanced one. Experiments were performed on a database of variety of fundus images with and without the disease. The experiments led to convincing results and the images were enhanced for easier clinical examination.
School/Discipline
Dissertation Note
Provenance
Description
Access Status
Rights
Copyright 2008 IEEE