Detection of Blood Vessels in Retinal Fundus Images
Detection of blood vessels in retinal fundus images is an important initial step in the development of systems for computer-aided diagnosis of pathologies of the eye. In this study, we perform multifeature analysis for the detection of blood vessels in retinal fundus images. The vessel detection tec...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Vladimir Andrunachievici Institute of Mathematics and Computer Science
2014-07-01
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| Series: | Computer Science Journal of Moldova |
| Subjects: | |
| Online Access: | http://www.math.md/files/csjm/v22-n2/v22-n2-(pp155-185).pdf |
| _version_ | 1828363964372746240 |
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| author | Faraz Oloumi Ashis K. Dhara Rangaraj M. Rangayyan Sudipta Mukhopadhyay |
| author_facet | Faraz Oloumi Ashis K. Dhara Rangaraj M. Rangayyan Sudipta Mukhopadhyay |
| author_sort | Faraz Oloumi |
| collection | DOAJ |
| description | Detection of blood vessels in retinal fundus images is an important initial step in the development of systems for computer-aided diagnosis of pathologies of the eye. In this study, we perform multifeature analysis for the detection of blood vessels in retinal fundus images. The vessel detection techniques implemented include multiscale vesselness measures, Gabor filters, line operators, and matched filters. The selection of an appropriate threshold is crucial for accurate detection of retinal blood vessels. We evaluate an adaptive threshold selection method along with several others for this purpose. We also propose a postprocessing technique for removal of false-positive pixels around the optic nerve head. Values of the area under the receiver operating haracteristic curve of up to $0.961$ were obtained using the $20$ test images of the DRIVE database. |
| first_indexed | 2024-04-14T05:08:22Z |
| format | Article |
| id | doaj.art-572f9225298c45c6a1db7ca6b21c0c68 |
| institution | Directory Open Access Journal |
| issn | 1561-4042 |
| language | English |
| last_indexed | 2024-04-14T05:08:22Z |
| publishDate | 2014-07-01 |
| publisher | Vladimir Andrunachievici Institute of Mathematics and Computer Science |
| record_format | Article |
| series | Computer Science Journal of Moldova |
| spelling | doaj.art-572f9225298c45c6a1db7ca6b21c0c682022-12-22T02:10:37ZengVladimir Andrunachievici Institute of Mathematics and Computer ScienceComputer Science Journal of Moldova1561-40422014-07-01222(65)155185Detection of Blood Vessels in Retinal Fundus ImagesFaraz Oloumi0Ashis K. Dhara1Rangaraj M. Rangayyan2Sudipta Mukhopadhyay3Department of Electrical and Computer Engineering, Schulich School of Engineering, University of Calgary, Calgary, Alberta, Canada T2N 1N4Department of Electronics and Electrical Communication Engineering, Indian Institute of Technology, Kharagpur 721302, IndiaDepartment of Electrical and Computer Engineering, Schulich School of Engineering, University of Calgary, Calgary, Alberta, Canada T2N 1N4Department of Electronics and Electrical Communication Engineering, Indian Institute of Technology, Kharagpur 721302, IndiaDetection of blood vessels in retinal fundus images is an important initial step in the development of systems for computer-aided diagnosis of pathologies of the eye. In this study, we perform multifeature analysis for the detection of blood vessels in retinal fundus images. The vessel detection techniques implemented include multiscale vesselness measures, Gabor filters, line operators, and matched filters. The selection of an appropriate threshold is crucial for accurate detection of retinal blood vessels. We evaluate an adaptive threshold selection method along with several others for this purpose. We also propose a postprocessing technique for removal of false-positive pixels around the optic nerve head. Values of the area under the receiver operating haracteristic curve of up to $0.961$ were obtained using the $20$ test images of the DRIVE database.http://www.math.md/files/csjm/v22-n2/v22-n2-(pp155-185).pdfGabor filterline operatormatched filtermultiscale analysisretinal fundus imagevessel detectionvesselness measure |
| spellingShingle | Faraz Oloumi Ashis K. Dhara Rangaraj M. Rangayyan Sudipta Mukhopadhyay Detection of Blood Vessels in Retinal Fundus Images Computer Science Journal of Moldova Gabor filter line operator matched filter multiscale analysis retinal fundus image vessel detection vesselness measure |
| title | Detection of Blood Vessels in Retinal Fundus Images |
| title_full | Detection of Blood Vessels in Retinal Fundus Images |
| title_fullStr | Detection of Blood Vessels in Retinal Fundus Images |
| title_full_unstemmed | Detection of Blood Vessels in Retinal Fundus Images |
| title_short | Detection of Blood Vessels in Retinal Fundus Images |
| title_sort | detection of blood vessels in retinal fundus images |
| topic | Gabor filter line operator matched filter multiscale analysis retinal fundus image vessel detection vesselness measure |
| url | http://www.math.md/files/csjm/v22-n2/v22-n2-(pp155-185).pdf |
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