An Automated Blood Vessel Segmentation Algorithm Using Histogram Equalization and Automatic Threshold Selection

Saleh, Marwan D. and Eswaran, C. and Mueen, Ahmed (2011) An Automated Blood Vessel Segmentation Algorithm Using Histogram Equalization and Automatic Threshold Selection. Journal of Digital Imaging, 24 (4). pp. 564-572. ISSN 0897-1889

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Official URL: http://dx.doi.org/10.1007/s10278-010-9302-9

Abstract

This paper focuses on the detection of retinal blood vessels which play a vital role in reducing the proliferative diabetic retinopathy and for preventing the loss of visual capability. The proposed algorithm which takes advantage of the powerful preprocessing techniques such as the contrast enhancement and thresholding offers an automated segmentation procedure for retinal blood vessels. To evaluate the performance of the new algorithm, experiments are conducted on 40 images collected from DRIVE database. The results show that the proposed algorithm performs better than the other known algorithms in terms of accuracy. Furthermore, the proposed algorithm being simple and easy to implement, is best suited for fast processing applications.

Item Type: Article
Subjects: R Medicine > R Medicine (General)
Divisions: Faculty of Computing and Informatics (FCI)
Depositing User: Users 27 not found.
Date Deposited: 05 Aug 2011 07:35
Last Modified: 05 Aug 2011 07:35
URI: http://shdl.mmu.edu.my/id/eprint/1897

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