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

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 enhance...

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Main Authors: Saleh, Marwan D., Eswaran, C., Mueen, Ahmed
Format: Article
Language:English
Published: 2011
Subjects:
Online Access:http://shdl.mmu.edu.my/1897/
http://shdl.mmu.edu.my/1897/1/3.pdf
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author Saleh, Marwan D.
Eswaran, C.
Mueen, Ahmed
author_facet Saleh, Marwan D.
Eswaran, C.
Mueen, Ahmed
author_sort Saleh, Marwan D.
building MMU Institutional Repository
collection Online Access
description 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.
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spelling mmu-18972011-08-05T07:35:08Z http://shdl.mmu.edu.my/1897/ An Automated Blood Vessel Segmentation Algorithm Using Histogram Equalization and Automatic Threshold Selection Saleh, Marwan D. Eswaran, C. Mueen, Ahmed R Medicine (General) 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. 2011-08 Article NonPeerReviewed application/pdf en http://shdl.mmu.edu.my/1897/1/3.pdf 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 http://dx.doi.org/10.1007/s10278-010-9302-9 doi:10.1007/s10278-010-9302-9 doi:10.1007/s10278-010-9302-9
spellingShingle R Medicine (General)
Saleh, Marwan D.
Eswaran, C.
Mueen, Ahmed
An Automated Blood Vessel Segmentation Algorithm Using Histogram Equalization and Automatic Threshold Selection
title An Automated Blood Vessel Segmentation Algorithm Using Histogram Equalization and Automatic Threshold Selection
title_full An Automated Blood Vessel Segmentation Algorithm Using Histogram Equalization and Automatic Threshold Selection
title_fullStr An Automated Blood Vessel Segmentation Algorithm Using Histogram Equalization and Automatic Threshold Selection
title_full_unstemmed An Automated Blood Vessel Segmentation Algorithm Using Histogram Equalization and Automatic Threshold Selection
title_short An Automated Blood Vessel Segmentation Algorithm Using Histogram Equalization and Automatic Threshold Selection
title_sort automated blood vessel segmentation algorithm using histogram equalization and automatic threshold selection
topic R Medicine (General)
url http://shdl.mmu.edu.my/1897/
http://shdl.mmu.edu.my/1897/
http://shdl.mmu.edu.my/1897/
http://shdl.mmu.edu.my/1897/1/3.pdf