Haemorrhages and Micro- aneurysms Diseases Detection using Eye Fundus Images with Image Processing Techniques
S.Megala1, T.S. Subashini2
1S.Megala*, Research Scholar, Department of Computer and Information Science, Annamalai University, Tamil Nadu, India.
2Dr. T.S. Subashini, Professor, Department of Computer Science and Engineering, Annamalai University, Tamil Nadu, India.
Manuscript received on April 02, 2020. | Revised Manuscript received on April 10, 2020. | Manuscript published on May 30, 2020. | PP: 28-33 | Volume-9 Issue-1, May 2020. | Retrieval Number: F9272038620/2020©BEIESP | DOI: 10.35940/ijrte.F9272.059120
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The micro-aneurysm and haemorrhages are considered to be earliest possible signs of diabetic retinopathy (DR). The weak blood vessel generates a swelling due to accumulation of leaking lipids termed as micro-aneurysm (MA). The swelling ruptures and leaking blood results in to haemorrhage. Haemorrhage is a major problem of the eye after diabetic retinopathy, in this disease bleeding occurs into the interior portion of the eye. The following are main reasons for Haemorrhages such as hypertension, retinal vein occlusion and diabetes mellitus. The exact detection of haemorrhages is more helpful for protecting the vision of diabetic patients as well as earlier diagnosing of diabetic retinopathy. In this paper work, we suggest an innovative method that expose and reveal diabetic retinopathy in fundus color images.
Keywords: Fundus image, Green channel, Relative entropy thresholding, Top –hat transform, Connected Component Labeling.
Scope of the Article: Image Processing and Pattern Recognition