Detection of vascular intersection in retina fundus

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 fundu...

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Main Authors:	Iqbal, Muhammad Imran, Aibinu, Abiodun Musa, Nilsson, Mikael, Tijani, Ismaila, Salami, Momoh Jimoh Emiyoka
Format:	Conference or Workshop Item
Language:	English
Published:	2008
Subjects:	T10.5 Communication of technical information
Online Access:	http://irep.iium.edu.my/1764/ http://irep.iium.edu.my/1764/ http://irep.iium.edu.my/1764/1/Detection_of_Vascular_Intersection_in_Retina_Fundus_Image_Using_Modified.pdf

id	iium-1764
recordtype	eprints
spelling	iium-17642011-09-09T01:51:18Z http://irep.iium.edu.my/1764/ Detection of vascular intersection in retina fundus Iqbal, Muhammad Imran Aibinu, Abiodun Musa Nilsson, Mikael Tijani, Ismaila Salami, Momoh Jimoh Emiyoka T10.5 Communication of technical information 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. 2008 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/1764/1/Detection_of_Vascular_Intersection_in_Retina_Fundus_Image_Using_Modified.pdf 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. http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=04580604
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	T10.5 Communication of technical information
spellingShingle	T10.5 Communication of technical information Iqbal, Muhammad Imran Aibinu, Abiodun Musa Nilsson, Mikael Tijani, Ismaila Salami, Momoh Jimoh Emiyoka Detection of vascular intersection in retina fundus
description	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.
format	Conference or Workshop Item
author	Iqbal, Muhammad Imran Aibinu, Abiodun Musa Nilsson, Mikael Tijani, Ismaila Salami, Momoh Jimoh Emiyoka
author_facet	Iqbal, Muhammad Imran Aibinu, Abiodun Musa Nilsson, Mikael Tijani, Ismaila Salami, Momoh Jimoh Emiyoka
author_sort	Iqbal, Muhammad Imran
title	Detection of vascular intersection in retina fundus
title_short	Detection of vascular intersection in retina fundus
title_full	Detection of vascular intersection in retina fundus
title_fullStr	Detection of vascular intersection in retina fundus
title_full_unstemmed	Detection of vascular intersection in retina fundus
title_sort	detection of vascular intersection in retina fundus
publishDate	2008
url	http://irep.iium.edu.my/1764/ http://irep.iium.edu.my/1764/ http://irep.iium.edu.my/1764/1/Detection_of_Vascular_Intersection_in_Retina_Fundus_Image_Using_Modified.pdf
first_indexed	2023-09-18T20:09:15Z
last_indexed	2023-09-18T20:09:15Z
_version_	1777407367058554880

Detection of vascular intersection in retina fundus

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