Page 20 - 2018

Ph.D.
(Engineering & Technology)
SMART DIAGNOSTIC ANALYSIS OF
RETINAL DISEASES

Ph.D. Scholar : Patel Prakashkumar Ranchhodbhai
Research Supervisor : Dr. D. J. Shah

Regi. No.: 13146051001
Abstract :
Diabetic Retinopathy (DR) is most normal retinal disease. Diabetic Retinopathy is an eye
disease caused by the microvascular complication of diabetes and it is one of the main
sources of vision impairment. The automatic detection and diagnosis of Diabetic
Retinopathy (DR) is vision and to help the ophthalmologists in mass screening of
diabetes sufferers. Diabetic retinopathy is a progressive eye disease and should be
detected as early as possible. We proposed smart diagnostic analysis system for
detection and classification of various diabetic retinopathy lesions i.e. Microaneurysms
and Haemorrhage (MAs and H) appears as red or dark dots, while yellow or bright spots
for Hard Exudates and Cotton Wool Spots (HE and CWS). Several image processing
techniques have used for separate finding diabetic retinopathy lesions but the method
can be used for smart screening of grading of diabetic retinopathy with additive features
on basis of abnormalities. In this thesis, we suggested another smart method in which
every possible lesion present in a retinal fundus image detected by Gabor filter bank.
Then feature sets are computed for each candidate lesion using different properties and
features followed by classification of lesions. There are three phase of the proposed
system i.e. extracts all possible candidate lesions present in a fundus image using filter
bank then feature sets are computed for each candidate lesion using different properties
and features followed by classification of lesions. The evaluation of proposed method is
performed using retinal image standard and genuine databases with the help of different
performance parameter and the results show the validity of proposed system.

Keywords: Diabetic Retinopathy, Microaneurysms, Haemorrhage, Hard Exudates, Cotton
Wool Spots.

01