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Detection of vascular intersection in retina fundus

Iqbal, Muhammad Imran and Aibinu, Abiodun Musa and Nilsson, Mikael and Tijani, Ismaila and Salami, Momoh Jimoh Emiyoka (2008) Detection of vascular intersection in retina fundus. In: International Conference on Computer and Communication Engineering 2008, May 13-15, 2008, Kuala Lumpur.

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Abstract

Vascular intersection can be used as one of the symptoms for monitoring and diagnosis of diabetic retinopathy from fundus images. In this work we apply the knowledge of digital image processing, fuzzy logic and neural network technique to detect bifurcation and vein-artery cross-over points in fundus images. The acquired images undergo preprocessing stage for illumination equalization and noise removal. Segmentation stage clusters the image into two distinct classes by the use of fuzzy c-means technique, neural network technique and modified cross-point number (MCN) methods were employed for the detection of bifurcation and cross-over points. MCN uses a 5x5 window with 16 neighboring pixels for efficient detection of bifurcation and cross over points in fundus images. Result obtained from applying this hybrid method on both real and simulated vascular points shows that this method perform better than the existing simple cross-point number (SCN) method, thus an improvement to the vascular point detection and a good tool in the monitoring and diagnosis of diabetic retinopathy.

Item Type: Conference or Workshop Item (Full Paper)
Additional Information: 5704/1764 (Proceedings of the International Conference on Computer and Communication Engineering 2008, ISBN 9781424416929)
Uncontrolled Keywords: fundus images, bifurcation, neural network, fuzzy e-means, cross point
Subjects: T Technology > T Technology (General) > T10.5 Communication of technical information
Kulliyyahs/Centres/Divisions/Institutes: Kulliyyah of Engineering > Department of Mechatronics Engineering
Depositing User: Dr Abiodun Musa Aibinu
Date Deposited: 09 Sep 2011 09:51
Last Modified: 09 Sep 2011 09:51
URI: http://irep.iium.edu.my/id/eprint/1764

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