Unsupervised change-detection in color fundus images of the human retina

A. Nappo*, J. A. Benediktsson, S. B. Serpico, S. R. Joelsson, G. Moser, R. A. Karlsson, G. H. Halldorsson, S. H. Hardarson, E. Stefansson

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

Abstract

The aim of this paper is to develop an automatic method for the detection of the changes that occurred in multitemporal digital images of the fundus of the human retina, in terms of white and red spots. The images are acquired from the same patient at different times by a color fundus camera, The proposed approach is unsupervised and is based on a minimum-error thresholding technique. This technique is applied both to separate the "change" and the "no-change" classes in a suitably defined difference image, and to distinguish among different typologies of change. The algorithm is tested on 10 multitemporal pairs of images. A quantitative assessment of the change detection performances suggests that the method is able to provide accurate change maps, although possibly affected by misregistration errors or calibration/acquisition artifacts.

Original languageEnglish
Title of host publicationProceedings of the 7th Nordic Signal Processing Symposium, NORSIG 2006
PublisherIEEE Computer Society
Pages134-137
Number of pages4
ISBN (Print)1424404126, 9781424404124
DOIs
Publication statusPublished - 2006
Event7th Nordic Signal Processing Symposium, NORSIG 2006 - Reykjavik, Iceland
Duration: 7 Jun 20069 Jun 2006

Publication series

NameProceedings of the 7th Nordic Signal Processing Symposium, NORSIG 2006

Conference

Conference7th Nordic Signal Processing Symposium, NORSIG 2006
Country/TerritoryIceland
CityReykjavik
Period7/06/069/06/06

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