Diabetic Retinopathy Detection using Hough Transform and Bottom Hat Transform

Author(s):

Elizabeth J S , MARIAN ENGINEERING COLLEGE,KAZHZKUTTAM; Keerthi Krishnan, MARIAN ENGINEERING COLLEGE; Sheeja Agustin, MARIAN ENGINEERING COLLEGE

Keywords:

Computer Aided Diagnosis, Diabetic Retinopathy, Optic Disc Detection, Hough Transform, Bottom Hat Transform

Abstract:

Now a days computer aided design and diagnosis is very popular. Most of the diseases screening and detection is performed with the help of a computer. Diabetic retinopathy is one of the diabetic eye diseases found in the patients who have diabetic in last 20-30 years. The main objective of this work is to effectively found diabetic retinopathy those who have diabetic by using Hough transform and bottom hat transform. Selection of the needed region and extract the decided feature is very important in CAD. Hough transform is one of the best method for feature extraction. It follows voting procedure for feature extraction. The purpose of the technique is to find imperfect instances of objects within a certain class of shapes.

Other Details:

Manuscript Id	:	IJSTEV3I10082
Published in	:	Volume : 3, Issue : 10
Publication Date	:	01/05/2017
Page(s)	:	150-153

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