Automatic retinal vessel profiling using multi-step regression method
Caliber of the retinal blood vessel is widely used for risk assessment of cardiovascular diseases. Accurate and automatic caliber measurement requires a precise model to be made for the vessel profile. In this paper, we present a new approach for retinal vessel profiling in which the background nois...
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2011
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my.iium.irep.194692022-11-09T07:47:24Z http://irep.iium.edu.my/19469/ Automatic retinal vessel profiling using multi-step regression method Aliahmad, Behzad Kumar, Dinesh K. Janghorban, Samira Che Azemin, Mohd Zulfaezal RC Internal medicine Caliber of the retinal blood vessel is widely used for risk assessment of cardiovascular diseases. Accurate and automatic caliber measurement requires a precise model to be made for the vessel profile. In this paper, we present a new approach for retinal vessel profiling in which the background noise, uneven illuminations and specular reflections have all been considered. In this method, regression analysis is performed with a series of second-order Gaussians to filter and up-sample the original vessel profile. This is then segmented to identify and represent the vessel edges by two Generalized Gaussian functions. The technique has been applied to retinal images and the results have been verified and compared with the state of the art automatic techniques. 2011 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/19469/1/1Automatic_retinal_vessel_profiling_using_multi-step_regression_method.pdf Aliahmad, Behzad and Kumar, Dinesh K. and Janghorban, Samira and Che Azemin, Mohd Zulfaezal (2011) Automatic retinal vessel profiling using multi-step regression method. In: 33rd Annual International Conference of the IEEE EMBS, 30 Aug-3 Sept. 2011, Boston, Massachusetts. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6090719&tag=1 |
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RC Internal medicine Aliahmad, Behzad Kumar, Dinesh K. Janghorban, Samira Che Azemin, Mohd Zulfaezal Automatic retinal vessel profiling using multi-step regression method |
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Caliber of the retinal blood vessel is widely used for risk assessment of cardiovascular diseases. Accurate and automatic caliber measurement requires a precise model to be made for the vessel profile. In this paper, we present a new approach for retinal vessel profiling in which the background noise, uneven illuminations and specular reflections have all been considered. In this method, regression analysis is performed with a series of second-order Gaussians to filter and up-sample the original vessel profile. This is then segmented to identify and represent the vessel edges by two Generalized Gaussian functions. The technique has been applied to retinal images and the results have been verified and compared with the state of the art automatic techniques.
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format |
Conference or Workshop Item |
author |
Aliahmad, Behzad Kumar, Dinesh K. Janghorban, Samira Che Azemin, Mohd Zulfaezal |
author_facet |
Aliahmad, Behzad Kumar, Dinesh K. Janghorban, Samira Che Azemin, Mohd Zulfaezal |
author_sort |
Aliahmad, Behzad |
title |
Automatic retinal vessel profiling using multi-step regression method |
title_short |
Automatic retinal vessel profiling using multi-step regression method |
title_full |
Automatic retinal vessel profiling using multi-step regression method |
title_fullStr |
Automatic retinal vessel profiling using multi-step regression method |
title_full_unstemmed |
Automatic retinal vessel profiling using multi-step regression method |
title_sort |
automatic retinal vessel profiling using multi-step regression method |
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2011 |
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http://irep.iium.edu.my/19469/1/1Automatic_retinal_vessel_profiling_using_multi-step_regression_method.pdf http://irep.iium.edu.my/19469/ http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6090719&tag=1 |
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