Mathematical snalysis of blood vessels segmentation based on three retinal images datasets

Retinal images are routinely acquired and retinal blood vessels are segmented to provide diagnostic evidence of diabetic retinopathy. Because of the acquisition process, very often these images are non-uniformly illuminated and exhibit local luminosity and contrast variability. In this work, three b...

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Bibliographic Details
Main Authors:	Bilal, Sara Mohammed Osman Saleh, Munir, Fatin, Khalifa, Othman Omran
Format:	Conference or Workshop Item
Language:	English
Published:	2014
Subjects:	QA75 Electronic computers. Computer science TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices
Online Access:	http://irep.iium.edu.my/38434/ http://irep.iium.edu.my/38434/ http://irep.iium.edu.my/38434/1/Eye_Vessel.pdf

id	iium-38434
recordtype	eprints
spelling	iium-384342018-06-19T01:40:25Z http://irep.iium.edu.my/38434/ Mathematical snalysis of blood vessels segmentation based on three retinal images datasets Bilal, Sara Mohammed Osman Saleh Munir, Fatin Khalifa, Othman Omran QA75 Electronic computers. Computer science TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices Retinal images are routinely acquired and retinal blood vessels are segmented to provide diagnostic evidence of diabetic retinopathy. Because of the acquisition process, very often these images are non-uniformly illuminated and exhibit local luminosity and contrast variability. In this work, three basic algorithms for segmenting retinal blood vessels, based on different image processing techniques which are Matched filter, Hough transform and Morphological operations are used and their strengths and weaknesses in terms of retinal images segmentation are compared mathematically. The performance of each algorithm was tested on DRIVE, DRIONS and High-Resolution Fundus images database. The results show that measuring the automatic segmentation algorithm performance is based mainly on how the retinal images are acquired as well as the image processing technique used for segmentation. The obtained results could help the eye specialists in their visual examination of retinal images. 2014-09 Conference or Workshop Item NonPeerReviewed application/pdf en http://irep.iium.edu.my/38434/1/Eye_Vessel.pdf Bilal, Sara Mohammed Osman Saleh and Munir, Fatin and Khalifa, Othman Omran (2014) Mathematical snalysis of blood vessels segmentation based on three retinal images datasets. In: 3rd International Conference on Mathematical Applications in Engineering (ICMAE'14), 23-25 Sept. 2014, Kuala Lumpur. (Unpublished) ttp://www.iium.edu.my/icmae/14/
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	QA75 Electronic computers. Computer science TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices
spellingShingle	QA75 Electronic computers. Computer science TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices Bilal, Sara Mohammed Osman Saleh Munir, Fatin Khalifa, Othman Omran Mathematical snalysis of blood vessels segmentation based on three retinal images datasets
description	Retinal images are routinely acquired and retinal blood vessels are segmented to provide diagnostic evidence of diabetic retinopathy. Because of the acquisition process, very often these images are non-uniformly illuminated and exhibit local luminosity and contrast variability. In this work, three basic algorithms for segmenting retinal blood vessels, based on different image processing techniques which are Matched filter, Hough transform and Morphological operations are used and their strengths and weaknesses in terms of retinal images segmentation are compared mathematically. The performance of each algorithm was tested on DRIVE, DRIONS and High-Resolution Fundus images database. The results show that measuring the automatic segmentation algorithm performance is based mainly on how the retinal images are acquired as well as the image processing technique used for segmentation. The obtained results could help the eye specialists in their visual examination of retinal images.
format	Conference or Workshop Item
author	Bilal, Sara Mohammed Osman Saleh Munir, Fatin Khalifa, Othman Omran
author_facet	Bilal, Sara Mohammed Osman Saleh Munir, Fatin Khalifa, Othman Omran
author_sort	Bilal, Sara Mohammed Osman Saleh
title	Mathematical snalysis of blood vessels segmentation based on three retinal images datasets
title_short	Mathematical snalysis of blood vessels segmentation based on three retinal images datasets
title_full	Mathematical snalysis of blood vessels segmentation based on three retinal images datasets
title_fullStr	Mathematical snalysis of blood vessels segmentation based on three retinal images datasets
title_full_unstemmed	Mathematical snalysis of blood vessels segmentation based on three retinal images datasets
title_sort	mathematical snalysis of blood vessels segmentation based on three retinal images datasets
publishDate	2014
url	http://irep.iium.edu.my/38434/ http://irep.iium.edu.my/38434/ http://irep.iium.edu.my/38434/1/Eye_Vessel.pdf
first_indexed	2023-09-18T20:55:13Z
last_indexed	2023-09-18T20:55:13Z
_version_	1777410259193692160

Mathematical snalysis of blood vessels segmentation based on three retinal images datasets

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