An Ensemble Classification-Based Approach Applied to Retinal Blood Vessel Segmentation | IEEE Journals & Magazine | IEEE Xplore

An Ensemble Classification-Based Approach Applied to Retinal Blood Vessel Segmentation


Abstract:

This paper presents a new supervised method for segmentation of blood vessels in retinal photographs. This method uses an ensemble system of bagged and boosted decision t...Show More

Abstract:

This paper presents a new supervised method for segmentation of blood vessels in retinal photographs. This method uses an ensemble system of bagged and boosted decision trees and utilizes a feature vector based on the orientation analysis of gradient vector field, morphological transformation, line strength measures, and Gabor filter responses. The feature vector encodes information to handle the healthy as well as the pathological retinal image. The method is evaluated on the publicly available DRIVE and STARE databases, frequently used for this purpose and also on a new public retinal vessel reference dataset CHASE_DB1 which is a subset of retinal images of multiethnic children from the Child Heart and Health Study in England (CHASE) dataset. The performance of the ensemble system is evaluated in detail and the incurred accuracy, speed, robustness, and simplicity make the algorithm a suitable tool for automated retinal image analysis.
Published in: IEEE Transactions on Biomedical Engineering ( Volume: 59, Issue: 9, September 2012)
Page(s): 2538 - 2548
Date of Publication: 22 June 2012

ISSN Information:

PubMed ID: 22736688
Author image of Muhammad Moazam Fraz
Faculty of Science, Kingston University London, Surrey, U.K.
Muhammad Moazam Fraz received the B.S. degree in software engineering from Foundation University, Islamabad, Pakistan, in 2003, and the M.S. degree in software engineering from National University of Sciences and Technology, Islamabad, Pakistan, in 2008. He is currently working toward the Ph.D. degree at Kingston University, London, U.K.
During 2003–2010, he worked as a software development engineer for Elixir Technologies...Show More
Muhammad Moazam Fraz received the B.S. degree in software engineering from Foundation University, Islamabad, Pakistan, in 2003, and the M.S. degree in software engineering from National University of Sciences and Technology, Islamabad, Pakistan, in 2008. He is currently working toward the Ph.D. degree at Kingston University, London, U.K.
During 2003–2010, he worked as a software development engineer for Elixir Technologies...View more
Faculty of Science, Kingston University London, Surrey, U.K.
Paolo Remagnino photograph and biography not available at the time of publication.
Paolo Remagnino photograph and biography not available at the time of publication.View more
Faculty of Science, Kingston University London, Surrey, U.K.
Andreas Hoppe received the Ph.D. degree in biomedical image processing from the University of Glamorgan in collaboration with the University of Wales College of Medicine, Cardiff, in 2001.
He is currently a Lecturer in the Faculty of Science, Engineering and Computing at Kingston University and he is Fellow of the Royal Microscopical Society. His current research focuses on developing novel methods for quantitative imaging...Show More
Andreas Hoppe received the Ph.D. degree in biomedical image processing from the University of Glamorgan in collaboration with the University of Wales College of Medicine, Cardiff, in 2001.
He is currently a Lecturer in the Faculty of Science, Engineering and Computing at Kingston University and he is Fellow of the Royal Microscopical Society. His current research focuses on developing novel methods for quantitative imaging...View more
Author image of Bunyarit Uyyanonvara
Department of Information Technology, Sirindhorn International Institute of Technology, Thammasat University, Bangkok, Thailand
Department of Information Technology, Thammasat University, Bangkok, Thailand
Bunyarit Uyyanonvara recieved the B.Sc. degree (1st Class Honours) from Prince of Songkhla University, Thailand, in 1995. and the Ph.D. degree in medical image analysis from King's College, London, U.K., in 2000.
He is now an Associate Professor at Sirindhorn International Institute of Technology, Thammasat University, Thailand and active in a field of medical image processing.
Bunyarit Uyyanonvara recieved the B.Sc. degree (1st Class Honours) from Prince of Songkhla University, Thailand, in 1995. and the Ph.D. degree in medical image analysis from King's College, London, U.K., in 2000.
He is now an Associate Professor at Sirindhorn International Institute of Technology, Thammasat University, Thailand and active in a field of medical image processing.View more
Author image of Alicja R. Rudnicka
Division of Population Health Sciences and Education, Saint George's University of London, London, UK
Division of Population Health Sciences and Education, University of London, London, U.K.
Alicja Rudnicka qualified as an optometrist in 1987 and received the M.Sc. degree in medical statistics at the London School of Hygiene and Tropical Medicine, and the Ph.D. degree in 1994 from City University, London, U.K., and Moorfields Eye Hospital, London.
She is currently Senior Lecturer in Medical Statistics at St George's, University of London. Her research focuses on cardiovascular epidemiology, objective measures ...Show More
Alicja Rudnicka qualified as an optometrist in 1987 and received the M.Sc. degree in medical statistics at the London School of Hygiene and Tropical Medicine, and the Ph.D. degree in 1994 from City University, London, U.K., and Moorfields Eye Hospital, London.
She is currently Senior Lecturer in Medical Statistics at St George's, University of London. Her research focuses on cardiovascular epidemiology, objective measures ...View more
Author image of Christopher G. Owen
Division of Population Health Sciences and Education, Saint George's University of London, London, UK
Division of Population Health Sciences and Education, University of London, London, U.K.
Christopher Owen received the M.Sc. degree in epidemiology at the London School of Hygiene and Tropical Medicine, and the Ph.D. degree in quantitative analysis of conjunctival vessels from City University, where he trained as an optometrist.
He is currently Senior Lecturer in epidemiology at St George's, University of London. His research interests include life course, cardiovascular and ophthalmic epidemiology.
Christopher Owen received the M.Sc. degree in epidemiology at the London School of Hygiene and Tropical Medicine, and the Ph.D. degree in quantitative analysis of conjunctival vessels from City University, where he trained as an optometrist.
He is currently Senior Lecturer in epidemiology at St George's, University of London. His research interests include life course, cardiovascular and ophthalmic epidemiology.View more
Author image of Sarah A. Barman
Faculty of Science, Kingston University London, Surrey, U.K.
Sarah Barman received the Ph.D. degree in optical physics from King's College, London, U.K., in 1996.
She is currently a Reader in the Faculty of Science, Engineering and Computing at Kingston University. Her main area of interest in research is in the field of medical image analysis. Her work is currently focused on research into novel image analysis techniques to enable the recognition and quantification of features in o...Show More
Sarah Barman received the Ph.D. degree in optical physics from King's College, London, U.K., in 1996.
She is currently a Reader in the Faculty of Science, Engineering and Computing at Kingston University. Her main area of interest in research is in the field of medical image analysis. Her work is currently focused on research into novel image analysis techniques to enable the recognition and quantification of features in o...View more

Author image of Muhammad Moazam Fraz
Faculty of Science, Kingston University London, Surrey, U.K.
Muhammad Moazam Fraz received the B.S. degree in software engineering from Foundation University, Islamabad, Pakistan, in 2003, and the M.S. degree in software engineering from National University of Sciences and Technology, Islamabad, Pakistan, in 2008. He is currently working toward the Ph.D. degree at Kingston University, London, U.K.
During 2003–2010, he worked as a software development engineer for Elixir Technologies Corporation; a California based Software Company. His research interests include medical image analysis, computer vision and pattern recognition.
Muhammad Moazam Fraz received the B.S. degree in software engineering from Foundation University, Islamabad, Pakistan, in 2003, and the M.S. degree in software engineering from National University of Sciences and Technology, Islamabad, Pakistan, in 2008. He is currently working toward the Ph.D. degree at Kingston University, London, U.K.
During 2003–2010, he worked as a software development engineer for Elixir Technologies Corporation; a California based Software Company. His research interests include medical image analysis, computer vision and pattern recognition.View more
Faculty of Science, Kingston University London, Surrey, U.K.
Paolo Remagnino photograph and biography not available at the time of publication.
Paolo Remagnino photograph and biography not available at the time of publication.View more
Faculty of Science, Kingston University London, Surrey, U.K.
Andreas Hoppe received the Ph.D. degree in biomedical image processing from the University of Glamorgan in collaboration with the University of Wales College of Medicine, Cardiff, in 2001.
He is currently a Lecturer in the Faculty of Science, Engineering and Computing at Kingston University and he is Fellow of the Royal Microscopical Society. His current research focuses on developing novel methods for quantitative imaging in microscopy.
Andreas Hoppe received the Ph.D. degree in biomedical image processing from the University of Glamorgan in collaboration with the University of Wales College of Medicine, Cardiff, in 2001.
He is currently a Lecturer in the Faculty of Science, Engineering and Computing at Kingston University and he is Fellow of the Royal Microscopical Society. His current research focuses on developing novel methods for quantitative imaging in microscopy.View more
Author image of Bunyarit Uyyanonvara
Department of Information Technology, Sirindhorn International Institute of Technology, Thammasat University, Bangkok, Thailand
Department of Information Technology, Thammasat University, Bangkok, Thailand
Bunyarit Uyyanonvara recieved the B.Sc. degree (1st Class Honours) from Prince of Songkhla University, Thailand, in 1995. and the Ph.D. degree in medical image analysis from King's College, London, U.K., in 2000.
He is now an Associate Professor at Sirindhorn International Institute of Technology, Thammasat University, Thailand and active in a field of medical image processing.
Bunyarit Uyyanonvara recieved the B.Sc. degree (1st Class Honours) from Prince of Songkhla University, Thailand, in 1995. and the Ph.D. degree in medical image analysis from King's College, London, U.K., in 2000.
He is now an Associate Professor at Sirindhorn International Institute of Technology, Thammasat University, Thailand and active in a field of medical image processing.View more
Author image of Alicja R. Rudnicka
Division of Population Health Sciences and Education, Saint George's University of London, London, UK
Division of Population Health Sciences and Education, University of London, London, U.K.
Alicja Rudnicka qualified as an optometrist in 1987 and received the M.Sc. degree in medical statistics at the London School of Hygiene and Tropical Medicine, and the Ph.D. degree in 1994 from City University, London, U.K., and Moorfields Eye Hospital, London.
She is currently Senior Lecturer in Medical Statistics at St George's, University of London. Her research focuses on cardiovascular epidemiology, objective measures of physical activity and ophthalmic epidemiology as well as systematic reviews and meta-analyses.
Alicja Rudnicka qualified as an optometrist in 1987 and received the M.Sc. degree in medical statistics at the London School of Hygiene and Tropical Medicine, and the Ph.D. degree in 1994 from City University, London, U.K., and Moorfields Eye Hospital, London.
She is currently Senior Lecturer in Medical Statistics at St George's, University of London. Her research focuses on cardiovascular epidemiology, objective measures of physical activity and ophthalmic epidemiology as well as systematic reviews and meta-analyses.View more
Author image of Christopher G. Owen
Division of Population Health Sciences and Education, Saint George's University of London, London, UK
Division of Population Health Sciences and Education, University of London, London, U.K.
Christopher Owen received the M.Sc. degree in epidemiology at the London School of Hygiene and Tropical Medicine, and the Ph.D. degree in quantitative analysis of conjunctival vessels from City University, where he trained as an optometrist.
He is currently Senior Lecturer in epidemiology at St George's, University of London. His research interests include life course, cardiovascular and ophthalmic epidemiology.
Christopher Owen received the M.Sc. degree in epidemiology at the London School of Hygiene and Tropical Medicine, and the Ph.D. degree in quantitative analysis of conjunctival vessels from City University, where he trained as an optometrist.
He is currently Senior Lecturer in epidemiology at St George's, University of London. His research interests include life course, cardiovascular and ophthalmic epidemiology.View more
Author image of Sarah A. Barman
Faculty of Science, Kingston University London, Surrey, U.K.
Sarah Barman received the Ph.D. degree in optical physics from King's College, London, U.K., in 1996.
She is currently a Reader in the Faculty of Science, Engineering and Computing at Kingston University. Her main area of interest in research is in the field of medical image analysis. Her work is currently focused on research into novel image analysis techniques to enable the recognition and quantification of features in ophthalmic images.
Sarah Barman received the Ph.D. degree in optical physics from King's College, London, U.K., in 1996.
She is currently a Reader in the Faculty of Science, Engineering and Computing at Kingston University. Her main area of interest in research is in the field of medical image analysis. Her work is currently focused on research into novel image analysis techniques to enable the recognition and quantification of features in ophthalmic images.View more
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