An efficient algorithm for retinal blood vessel segmentation using h-maxima transform and multilevel thresholding.

Abstract:

:Retinal blood vessel detection and analysis play vital roles in early diagnosis and prevention of several diseases, such as hypertension, diabetes, arteriosclerosis, cardiovascular disease and stroke. This paper presents an automated algorithm for retinal blood vessel segmentation. The proposed algorithm takes advantage of powerful image processing techniques such as contrast enhancement, filtration and thresholding for more efficient segmentation. To evaluate the performance of the proposed algorithm, experiments were conducted on 40 images collected from DRIVE database. The results show that the proposed algorithm yields an accuracy rate of 96.5%, which is higher than the results achieved by other known algorithms.

authors

Saleh MD,Eswaran C

doi

10.1080/10255842.2010.545949

subject

Has Abstract

pub_date

2012-01-01 00:00:00

pages

517-25

issue

5

eissn

1025-5842

issn

1476-8259

pii

933626309

journal_volume

15

pub_type

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