Optic nerve head detection via group correlations in multi-orientation transforms

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

5 Citaten (Scopus)
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Samenvatting

Optic nerve head detection is a fundamental step in automated retinal image analysis algorithms. In this paper, we propose a new optic nerve head detection algorithm that is based on the efficient analysis of multi-orientation patterns. To this end, we make use of invertible orientation scores, which are functions on the Euclidean motion group. We apply the classical and fast approach of template matching via cross-correlation, however, we do this in the domain of an orientation score rather than the usual image domain. As such, this approach makes it possible to efficiently detect multi-orientation patterns. The method is extensively tested on public and private databases and we show that the method is generically applicable to images originating from traditional fundus cameras as well as from scanning laser ophthalmoscopes. Keywords: Optic nerve head; Optic disk; Retina; Multi-orientation; Orientation scores; Template matching; SLO
Originele taal-2Engels
TitelImage Analysis and Recognition (11th International Conference, ICIAR 2014, Vilamoura, Portugal, October 22-24, 2014, Proceedings, Part II)
RedacteurenA. Campilho, M. Kamel
Plaats van productieCham
UitgeverijSpringer
Pagina's293-302
ISBN van geprinte versie978-3-319-11754-6
DOI's
StatusGepubliceerd - 2014
Evenementconference; 11th International Conference on Image Analysis and Recognition; 2014-10-22; 2014-10-24 -
Duur: 22 okt 201424 okt 2014

Publicatie series

NaamLecture Notes in Computer Science
Volume8815
ISSN van geprinte versie0302-9743

Congres

Congresconference; 11th International Conference on Image Analysis and Recognition; 2014-10-22; 2014-10-24
Periode22/10/1424/10/14
Ander11th International Conference on Image Analysis and Recognition

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  • Citeer dit

    Bekkers, E. J., Duits, R., & Haar Romeny, ter, B. M. (2014). Optic nerve head detection via group correlations in multi-orientation transforms. In A. Campilho, & M. Kamel (editors), Image Analysis and Recognition (11th International Conference, ICIAR 2014, Vilamoura, Portugal, October 22-24, 2014, Proceedings, Part II) (blz. 293-302). (Lecture Notes in Computer Science; Vol. 8815). Springer. https://doi.org/10.1007/978-3-319-11755-3_33