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KOLÁŘ R., JAN J., KUBEČKA L.
Originální název
Computer support for early glaucoma diagnosis based on the fused retinal images
Typ
článek v časopise - ostatní, Jost
Jazyk
angličtina
Originální abstrakt
The autofluorescence of the retinal tissue has a potential to be used as a feature for the early glaucoma diagnosis [3]. In this paper, a new method for detection and segmentation of the zones with a higher level of autofluorescence around the optical disc in autofluorescent images is proposed. Areas of these small isles and their distances from the optical disc (OD) can be used as diagnostic parameters. The border of the OD is determined with the help of auxiliary infrared images, because of higher contrast between OD and surrounding tissue. Consequently, the multimodal registration method of both images to be fused must be applied, relying on our previous results [14]. The region growing method with manually determined seed points is used for segmentation. We show that the semi-automatic segmentation approach offers a reasonable estimation in comparison with manually segmented regions. The estimate is well defined thus removing the undesirable inter-expert variance.
Klíčová slova
glaucoma, image segmentation, retinal images
Autoři
Rok RIV
2006
Vydáno
31. 12. 2006
ISSN
1211-3395
Periodikum
Scripta medica
Ročník
Číslo
79
Stát
Česká republika
Strany od
249
Strany do
259
Strany počet
10
BibTex
@article{BUT44023, author="Radim {Kolář} and Jiří {Jan} and Libor {Kubečka}", title="Computer support for early glaucoma diagnosis based on the fused retinal images", journal="Scripta medica", year="2006", volume="2006", number="79", pages="249--259", issn="1211-3395" }