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Detail publikace
NIEMANN, H., CHRASTEK, R., HOTHORN, T., LAUSEN, B., KUBECKA, L., JAN, J., MICHELSON, G
Originální název
Optic Nerve Head Segmentation in Multimodal Retinal Images
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
In this paper we address automatic segmentation of the optic nerve head (ONH) with the long-term goal of automatic diagnosis of the early stages of glaucoma. The images discussed are average images obtained from a scanning laser ophthalmoscope (SLO). The segmentation consists of the following main steps: finding a region of interest containing the ONH, constraining the search space for final segmentation, and computing the fine segmentation by an active contour model. The agreement of true positive pixels, i.e., pixels attributed to the ONH by both manual and automatic segmentation, is very good. The classification results obtained from three different classifiers using manual or automatic segmentation still reveal the superiority of manual segmentation. One means to further improve automatic segmentation is to use information from an SLO as well as from a fundus camera.
Klíčová slova
retina, glaucoma, scanning-laser-tomography, color fundus photograph, registration, segmentation, active contours
Autoři
Rok RIV
2005
Vydáno
1. 1. 2005
Nakladatel
MAIK Nauka Interperiodica Publishing Moscow
Místo
St. Petersburg
Strany od
101
Strany do
106
Strany počet
6
BibTex
@inproceedings{BUT14719, author="Radim {Chrástek} and Libor {Kubečka} and Jiří {Jan}", title="Optic Nerve Head Segmentation in Multimodal Retinal Images", booktitle="Proceed. of the 7th International Conference on Pattern Recognition and Image Analysis: New Information Technologies Conferrence (PRIA-7-2004)", year="2005", number="1", pages="6", publisher="MAIK Nauka Interperiodica Publishing Moscow", address="St. Petersburg" }