Detection of Cotton Wool Spots from Retinal Images using Fuzzy C Means | Zendy

Amrita RoyChowdhury | Zendy; Sreeparna Banerjee | Zendy

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Detection of Cotton Wool Spots from Retinal Images using Fuzzy C Means

Author(s) -

Amrita RoyChowdhury,

Sreeparna Banerjee

Publication year - 2015

Publication title -

international journal of computer applications

Language(s) - English

Resource type - Journals

ISSN - 0975-8887

DOI - 10.5120/19870-1857

Subject(s) - cotton wool spots , diabetic retinopathy , retinal , spots , retina , blindness , nerve fiber layer , retinopathy , wool , ophthalmology , computer science , occlusion , medicine , diabetes mellitus , optometry , surgery , pathology , optics , materials science , physics , composite material , endocrinology

Retinopathy is a common disease among those who are suffering from Diabetes for a long period. Several abnormalities are related to Diabetic Retinopathy. Cotton Wool Spot is one among them. It causes from nerve fiber layer breaking from occlusion of pre-capillary arterioles. It occurs in retina as whitish spots causing blindness in some cases. Early detection of CWS can prevent severe damage of retina which may lead to permanent vision loss. In this paper an algorithm is developed which can detect these spots automatically from a retinal image affected by Diabetic Retinopathy. The automatic detection can help the doctors for accurate detection of Cotton Wool Spots and also for the longitudinal study of a retinal image damaged by Diabetic Retinopathy.

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