Improvement of Vessel Segmentation by Matched Filtering in Colour Retinal Images
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F09%3APU81701" target="_blank" >RIV/00216305:26220/09:PU81701 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Improvement of Vessel Segmentation by Matched Filtering in Colour Retinal Images
Original language description
A method for segmentation of vessel structure in colour retinal fundus images is presented, based on 2D matched filtering correlating the local image areas with 2D masks obtained via averaging of brightness profiles of vessels for several different vessel widths. Each of the basic masks is rotated in twelve different directions. This way, 60 masks for 5 different widths, each with 12 orientations are produced and used as 2D convolution kernels of the matched filters. The maximum response of all the filter responses for a concrete local area thus carries, if there is a vessel present, the information both on the width and orientation of the vessel segment. Compared to the previously published results, the segmentation has been improved primarily in twodirections: the width resolution has been increased from 3 to 5 classes with a better approximation of the brightness profiles, and the orientation information is now utilized to provide vessel direction maps that are further used in the
Czech name
Vylepšení metody segmentace cév retinálních snímků pomocí přizpůsobených filtrů
Czech description
A method for segmentation of vessel structure in colour retinal fundus images is presented, based on 2D matched filtering correlating the local image areas with 2D masks obtained via averaging of brightness profiles of vessels for several different vessel widths. Each of the basic masks is rotated in twelve different directions. This way, 60 masks for 5 different widths, each with 12 orientations are produced and used as 2D convolution kernels of the matched filters. The maximum response of all the filter responses for a concrete local area thus carries, if there is a vessel present, the information both on the width and orientation of the vessel segment. Compared to the previously published results, the segmentation has been improved primarily in twodirections: the width resolution has been increased from 3 to 5 classes with a better approximation of the brightness profiles, and the orientation information is now utilized to provide vessel direction maps that are further used in the
Classification
Type
D - Article in proceedings
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
<a href="/en/project/1M0572" target="_blank" >1M0572: Data, algorithms, decision making</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2009
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
IFMBE Proceedings of World Congress on Medical Physics and Biomedical Engineering
ISBN
978-3-642-03897-6
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
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Publisher name
Springer
Place of publication
Neuveden
Event location
Mnichov
Event date
Sep 7, 2009
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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