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

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 (Unpublished)

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Abstract

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.

Item Type:	Conference or Workshop Item (UNSPECIFIED)
Additional Information:	6951/38434
Uncontrolled Keywords:	Retinal images, Eye blood vessels, Segmentation, Database
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering Kulliyyah of Engineering > Department of Science
Depositing User:	Sara Bilal
Date Deposited:	23 Dec 2014 15:12
Last Modified:	19 Jun 2018 09:40
URI:	http://irep.iium.edu.my/id/eprint/38434

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