ROI DETECTION AND VESSEL SEGMENTATION IN RETINAL IMAGE

ROI DETECTION AND VESSEL SEGMENTATION IN RETINAL IMAGE

Diabetes disrupts work by affecting the structure of the eye and afterwards leads to loss of vision. Depending on the stage of disease that called diabetic retinopathy, there are sudden loss of vision and blurred vision problems. Automated detection of vessels in retinal images is a useful study t...

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Main Authors: F. Sabaz, U. Atila
Format: Article
Language:English
Published: Copernicus Publications 2017-11-01
Series:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-4-W6/85/2017/isprs-archives-XLII-4-W6-85-2017.pdf
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spelling doaj-6efe44b764574180bf32e6947884bcb32020-11-25T01:01:42ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342017-11-01XLII-4-W6858910.5194/isprs-archives-XLII-4-W6-85-2017ROI DETECTION AND VESSEL SEGMENTATION IN RETINAL IMAGEF. Sabaz0U. Atila1Karabuk University, Dept. of Computer Engineering, 78050, Karabuk, TurkeyKarabuk University, Dept. of Computer Engineering, 78050, Karabuk, TurkeyDiabetes disrupts work by affecting the structure of the eye and afterwards leads to loss of vision. Depending on the stage of disease that called diabetic retinopathy, there are sudden loss of vision and blurred vision problems. Automated detection of vessels in retinal images is a useful study to diagnose eye diseases, disease classification and other clinical trials. The shape and structure of the vessels give information about the severity of the disease and the stage of the disease. Automatic and fast detection of vessels allows for a quick diagnosis of the disease and the treatment process to start shortly. ROI detection and vessel extraction methods for retinal image are mentioned in this study. It is shown that the Frangi filter used in image processing can be successfully used in detection and extraction of vessels.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-4-W6/85/2017/isprs-archives-XLII-4-W6-85-2017.pdf
collection DOAJ
language English
format Article
sources DOAJ
author F. Sabaz
U. Atila
spellingShingle F. Sabaz
U. Atila
ROI DETECTION AND VESSEL SEGMENTATION IN RETINAL IMAGE
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
author_facet F. Sabaz
U. Atila
author_sort F. Sabaz
title ROI DETECTION AND VESSEL SEGMENTATION IN RETINAL IMAGE
title_short ROI DETECTION AND VESSEL SEGMENTATION IN RETINAL IMAGE
title_full ROI DETECTION AND VESSEL SEGMENTATION IN RETINAL IMAGE
title_fullStr ROI DETECTION AND VESSEL SEGMENTATION IN RETINAL IMAGE
title_full_unstemmed ROI DETECTION AND VESSEL SEGMENTATION IN RETINAL IMAGE
title_sort roi detection and vessel segmentation in retinal image
publisher Copernicus Publications
series The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
issn 1682-1750
2194-9034
publishDate 2017-11-01
description Diabetes disrupts work by affecting the structure of the eye and afterwards leads to loss of vision. Depending on the stage of disease that called diabetic retinopathy, there are sudden loss of vision and blurred vision problems. Automated detection of vessels in retinal images is a useful study to diagnose eye diseases, disease classification and other clinical trials. The shape and structure of the vessels give information about the severity of the disease and the stage of the disease. Automatic and fast detection of vessels allows for a quick diagnosis of the disease and the treatment process to start shortly. ROI detection and vessel extraction methods for retinal image are mentioned in this study. It is shown that the Frangi filter used in image processing can be successfully used in detection and extraction of vessels.
url https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-4-W6/85/2017/isprs-archives-XLII-4-W6-85-2017.pdf
work_keys_str_mv AT fsabaz roidetectionandvesselsegmentationinretinalimage
AT uatila roidetectionandvesselsegmentationinretinalimage
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