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Statements

Subject Item
n2:RIV%2F00216305%3A26220%2F09%3APU81701%21RIV10-MSM-26220___
rdf:type
skos:Concept n21:Vysledek
dcterms: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 two directions: 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 following phase 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 two directions: 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 following phase
dcterms:title
Improvement of Vessel Segmentation by Matched Filtering in Colour Retinal Images Improvement of Vessel Segmentation by Matched Filtering in Colour Retinal Images
skos:prefLabel
Improvement of Vessel Segmentation by Matched Filtering in Colour Retinal Images Improvement of Vessel Segmentation by Matched Filtering in Colour Retinal Images
skos:notation
RIV/00216305:26220/09:PU81701!RIV10-MSM-26220___
n3:aktivita
n9:P n9:Z
n3:aktivity
P(1M0572), Z(MSM0021630513)
n3:dodaniDat
n10:2010
n3:domaciTvurceVysledku
n7:7927185 n7:8793069 n7:2409879 n7:2652668
n3:druhVysledku
n13:D
n3:duvernostUdaju
n20:S
n3:entitaPredkladatele
n12:predkladatel
n3:idSjednocenehoVysledku
318842
n3:idVysledku
RIV/00216305:26220/09:PU81701
n3:jazykVysledku
n15:eng
n3:klicovaSlova
Retinal images, 2D matched filtering, vessel profiles, vessel segmentation.
n3:klicoveSlovo
n4:Retinal%20images n4:2D%20matched%20filtering n4:vessel%20profiles n4:vessel%20segmentation.
n3:kontrolniKodProRIV
[E71B9B38BC72]
n3:mistoKonaniAkce
Mnichov
n3:mistoVydani
Neuveden
n3:nazevZdroje
IFMBE Proceedings of World Congress on Medical Physics and Biomedical Engineering
n3:obor
n19:JD
n3:pocetDomacichTvurcuVysledku
4
n3:pocetTvurcuVysledku
4
n3:projekt
n17:1M0572
n3:rokUplatneniVysledku
n10:2009
n3:tvurceVysledku
Kolář, Radim Odstrčilík, Jan Gazárek, Jiří Jan, Jiří
n3:typAkce
n16:WRD
n3:zahajeniAkce
2009-09-07+02:00
n3:zamer
n18:MSM0021630513
s:numberOfPages
4
n14:hasPublisher
Springer-Verlag
n22:isbn
978-3-642-03897-6
n11:organizacniJednotka
26220