Retinal Vessel Segmentation in Fundus Images
but.event.date | 28.04.2016 | cs |
but.event.title | Student EEICT 2016 | cs |
dc.contributor.author | Andrla, Ondřej | |
dc.date.accessioned | 2018-07-10T12:48:08Z | |
dc.date.available | 2018-07-10T12:48:08Z | |
dc.date.issued | 2016 | cs |
dc.description.abstract | Segmentation of retinal vessel system plays an important role in the analysis of retinal images. In this contribution, I have used the segmentation method based on morphological image analysis. The product of this method is a final binary representation of blood vessel tree. The outcome of my work is the computer program for automatic vessel segmentation. The method was tested by standardized images from VUT database. | en |
dc.format | text | cs |
dc.format.extent | 15-17 | cs |
dc.format.mimetype | application/pdf | en |
dc.identifier.citation | Proceedings of the 22nd Conference STUDENT EEICT 2016. s. 15-17. ISBN 978-80-214-5350-0 | cs |
dc.identifier.isbn | 978-80-214-5350-0 | |
dc.identifier.uri | http://hdl.handle.net/11012/83859 | |
dc.language.iso | cs | cs |
dc.publisher | Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií | cs |
dc.relation.ispartof | Proceedings of the 22nd Conference STUDENT EEICT 2016 | en |
dc.relation.uri | http://www.feec.vutbr.cz/EEICT/ | cs |
dc.rights | © Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií | cs |
dc.rights.access | openAccess | en |
dc.subject | fundus | en |
dc.subject | retinal vessel | en |
dc.subject | morphological image processing | en |
dc.title | Retinal Vessel Segmentation in Fundus Images | en |
dc.type.driver | conferenceObject | en |
dc.type.status | Peer-reviewed | en |
dc.type.version | publishedVersion | en |
eprints.affiliatedInstitution.department | Fakulta elektrotechniky a komunikačních technologií | cs |
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