Classification-Based Blood Vessel Segmentation in Retinal Images

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F15%3APU116035" target="_blank" >RIV/00216305:26220/15:PU116035 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Classification-Based Blood Vessel Segmentation in Retinal Images
Original language description
Automatic and precise segmentation of retinal blood vessels can help in computer aided as-sessment of various retinal diseases, especially diseases related to cardiovascular system or glaucoma. Hence, an accurate detection of retinal vascular structures is one of the most addressed topic in the field of retinal im-age processing today. Most of the methods are designed directly for utilization with a special dataset only or have problems to segment blurry and noisy images. In this study, we showed that combination of three stand-ard approaches – matched filtering, Hessian-based approach, and morphological processing, together with support vector machine classification technique, can be satisfactorily used as a universal segmentation ap-proach in retinal images acquired using entirely different devices.
Czech name
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Czech description
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Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Computational Vision and Medical Image Processing V
ISBN
978-1-138-02926-2
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
95-100
Publisher name
CRC Press Taylor and Francis Group
Place of publication
London, UK
Event location
Tenerife, Spain
Event date
Oct 19, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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