Segmentation of Blood Vessels from Fundus Retinal Images by Using Gabor Transformation

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F20%3A10243280" target="_blank" >RIV/61989100:27240/20:10243280 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-030-31635-8_198" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-030-31635-8_198</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-31635-8_198" target="_blank" >10.1007/978-3-030-31635-8_198</a>

Result language
angličtina
Original language name
Segmentation of Blood Vessels from Fundus Retinal Images by Using Gabor Transformation
Original language description
In this paper, it was using segmentation based on Gabor transformation for extraction the retinal blood vessels. The algorithm has been applied on images from freely accessible DRIVE and STARE databases. The segmentation algorithm provides the possibility of automatic modeling and consequent extraction of the retinal vascular system. Resultant images are in the form of a binary map. An algorithm for calculating the value of the curvature of the retinal vessels and thus objectifying the tortuosity can be applied to these images. (C) 2020, Springer Nature Switzerland AG.
Czech name
—
Czech description
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Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
S - Specificky vyzkum na vysokych skolach

Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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