Automatic diagnosis of diabetic retinopathy from fundus images using digital signal and image processing techniques

Automatic diagnosis and display of diabetic retinopathy from images of retina using the techniques of digital signal and image processing is presented in this paper. The acquired images undergo pre-processing to equalize uneven illumination associated with the acquired fundus images. This stage...

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Main Authors:	Aibinu, Abiodun Musa, Iqbal, Muhammad Imran, Nilsson, Mikael, Salami, Momoh Jimoh Emiyoka
Format:	Conference or Workshop Item
Language:	English
Published:	2007
Subjects:	T175 Industrial research. Research and development
Online Access:	http://irep.iium.edu.my/3257/ http://irep.iium.edu.my/3257/ http://irep.iium.edu.my/3257/1/Automatic_Diagnosis_of_Diabetic_Retinopathy_from_Fundus_Images_Using_Digita.pdf

id	iium-3257
recordtype	eprints
spelling	iium-32572012-06-11T06:44:00Z http://irep.iium.edu.my/3257/ Automatic diagnosis of diabetic retinopathy from fundus images using digital signal and image processing techniques Aibinu, Abiodun Musa Iqbal, Muhammad Imran Nilsson, Mikael Salami, Momoh Jimoh Emiyoka T175 Industrial research. Research and development Automatic diagnosis and display of diabetic retinopathy from images of retina using the techniques of digital signal and image processing is presented in this paper. The acquired images undergo pre-processing to equalize uneven illumination associated with the acquired fundus images. This stage also removes noise present in the image. Segmentation stage clusters the image into two distinct classes while the abnormalities detection stage was used to distinguish between candidate lesions and other information. Methods of diagnosis of red spots, bleeding and detection of vein-artery crossover points have also been developed in this work using the color information, shape, size, object length to breadth ration as contained in the acquired digital fundus image. The algorithm was tested with a separate set of 25 fundus images. From this, the result obtained for Microaneurysms and Haemorrhages diagnosis shows the appropriateness of the method. 2007 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/3257/1/Automatic_Diagnosis_of_Diabetic_Retinopathy_from_Fundus_Images_Using_Digita.pdf Aibinu, Abiodun Musa and Iqbal, Muhammad Imran and Nilsson, Mikael and Salami, Momoh Jimoh Emiyoka (2007) Automatic diagnosis of diabetic retinopathy from fundus images using digital signal and image processing techniques. In: Proceedings of the International Conference on Robotics, Vision, Information and Signal Processing (ROVISP2007), 28-30 November 2007, Penang, Malaysia. http://www.ieee.org/conferences_events/conferences/conferencedetails/index.html?Conf_ID=12668
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	T175 Industrial research. Research and development
spellingShingle	T175 Industrial research. Research and development Aibinu, Abiodun Musa Iqbal, Muhammad Imran Nilsson, Mikael Salami, Momoh Jimoh Emiyoka Automatic diagnosis of diabetic retinopathy from fundus images using digital signal and image processing techniques
description	Automatic diagnosis and display of diabetic retinopathy from images of retina using the techniques of digital signal and image processing is presented in this paper. The acquired images undergo pre-processing to equalize uneven illumination associated with the acquired fundus images. This stage also removes noise present in the image. Segmentation stage clusters the image into two distinct classes while the abnormalities detection stage was used to distinguish between candidate lesions and other information. Methods of diagnosis of red spots, bleeding and detection of vein-artery crossover points have also been developed in this work using the color information, shape, size, object length to breadth ration as contained in the acquired digital fundus image. The algorithm was tested with a separate set of 25 fundus images. From this, the result obtained for Microaneurysms and Haemorrhages diagnosis shows the appropriateness of the method.
format	Conference or Workshop Item
author	Aibinu, Abiodun Musa Iqbal, Muhammad Imran Nilsson, Mikael Salami, Momoh Jimoh Emiyoka
author_facet	Aibinu, Abiodun Musa Iqbal, Muhammad Imran Nilsson, Mikael Salami, Momoh Jimoh Emiyoka
author_sort	Aibinu, Abiodun Musa
title	Automatic diagnosis of diabetic retinopathy from fundus images using digital signal and image processing techniques
title_short	Automatic diagnosis of diabetic retinopathy from fundus images using digital signal and image processing techniques
title_full	Automatic diagnosis of diabetic retinopathy from fundus images using digital signal and image processing techniques
title_fullStr	Automatic diagnosis of diabetic retinopathy from fundus images using digital signal and image processing techniques
title_full_unstemmed	Automatic diagnosis of diabetic retinopathy from fundus images using digital signal and image processing techniques
title_sort	automatic diagnosis of diabetic retinopathy from fundus images using digital signal and image processing techniques
publishDate	2007
url	http://irep.iium.edu.my/3257/ http://irep.iium.edu.my/3257/ http://irep.iium.edu.my/3257/1/Automatic_Diagnosis_of_Diabetic_Retinopathy_from_Fundus_Images_Using_Digita.pdf
first_indexed	2023-09-18T20:11:01Z
last_indexed	2023-09-18T20:11:01Z
_version_	1777407477962244096

Automatic diagnosis of diabetic retinopathy from fundus images using digital signal and image processing techniques

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