Locating the optic disk in retinal images via plausible detection and constraint satisfaction

Emanuele Trucco, Pawan J. Kamat

Research output: Chapter in Book/Report/Conference proceedingConference contribution

20 Citations (Scopus)

Abstract

This paper present a novel, robust approach to the automatic location of the optic disk in retinal (fundus) images. Instead of generating a single, high-confidence optic disk candidate, we generate sets of plausible candidates for optic disk, macula and main vessels, then search the space of all possible triplets (optic disk, macula, vessels) to identify the one satisfying a-priori anatomical constraints. Our first implementation achieved 100% success with 40 wide-field-of-view retinal images acquired by an OPTOS Panorama ophtalmoscope. It also matched the performance of a visible, recently reported algorithm [1] on the STARE test set [2], and succeeded in some cases where [1] failed. ©2004 IEEE.

Original languageEnglish
Title of host publicationProceedings - International Conference on Image Processing, ICIP
Subtitle of host publication2004 International Conference on Image Processing, ICIP 2004; 24 October 2004 through 27 October 2004
Pages155-158
Number of pages4
Volume1
DOIs
Publication statusPublished - 2004
EventAdvanced Free-Space Optical Communications Techniques and Technologies - London, United Kingdom
Duration: 27 Oct 200428 Oct 2004

Publication series

NameProceedings - International Conference on Image Processing, ICIP
ISSN (Print)1522-4880

Conference

ConferenceAdvanced Free-Space Optical Communications Techniques and Technologies
CountryUnited Kingdom
CityLondon
Period27/10/0428/10/04

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  • Cite this

    Trucco, E., & Kamat, P. J. (2004). Locating the optic disk in retinal images via plausible detection and constraint satisfaction. In Proceedings - International Conference on Image Processing, ICIP: 2004 International Conference on Image Processing, ICIP 2004; 24 October 2004 through 27 October 2004 (Vol. 1, pp. 155-158). (Proceedings - International Conference on Image Processing, ICIP). https://doi.org/10.1109/ICIP.2004.1418713