Unsupervised Change-Detection in Retinal Images by a Multiple-Classifier Approach
Identifieur interne : 000E52 ( Main/Exploration ); précédent : 000E51; suivant : 000E53Unsupervised Change-Detection in Retinal Images by a Multiple-Classifier Approach
Auteurs : Giulia Troglio [Italie, Islande] ; Marina Alberti [Italie] ; Atli Benediksson [Islande] ; Gabriele Moser [Italie] ; Bruno Serpico [Italie] ; Einar Stefánsson [Islande]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2010.
Abstract
Abstract: The aim of this work is the development of an unsupervised 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 fundus camera. The proposed method is an unsupervised multiple classifier approach, based on a minimum-error thresholding technique. This technique is applied to separate the “change” and the “no-change” areas in a suitably defined difference image. In particular, the thresholding approach is applied to selected sub-images: the outputs of the different windows are combined with a majority vote approach, in order to cope with local illumination differences. A quantitative assessment of the change detection performances suggests that the proposed method is able to provide accurate change maps, although possibly affected by misregistration errors or calibration/acquisition artifacts. The comparison between the results obtained using the implemented multiple classifier approach and a standard one points out that the proposed algorithm provides an accurate detection of the temporal changes.
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DOI: 10.1007/978-3-642-12127-2_10
Affiliations:
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Box, 107, Reykjavik</wicri:regionArea><wicri:noRegion>Reykjavik</wicri:noRegion></affiliation></author></analytic><monogr></monogr><series><title level="s">Lecture Notes in Computer Science</title><imprint><date>2010</date></imprint><idno type="ISSN">0302-9743</idno><idno type="eISSN">1611-3349</idno><idno type="ISSN">0302-9743</idno></series><idno type="istex">D6A33EA4DEBE9A4273E72FF7A5DF51BF9089D553</idno><idno type="DOI">10.1007/978-3-642-12127-2_10</idno><idno type="ChapterID">Chap10</idno><idno type="ChapterID">10</idno></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">0302-9743</idno></seriesStmt></fileDesc><profileDesc><textClass></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Abstract: The aim of this work is the development of an unsupervised 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 fundus camera. The proposed method is an unsupervised multiple classifier approach, based on a minimum-error thresholding technique. This technique is applied to separate the “change” and the “no-change” areas in a suitably defined difference image. In particular, the thresholding approach is applied to selected sub-images: the outputs of the different windows are combined with a majority vote approach, in order to cope with local illumination differences. A quantitative assessment of the change detection performances suggests that the proposed method is able to provide accurate change maps, although possibly affected by misregistration errors or calibration/acquisition artifacts. The comparison between the results obtained using the implemented multiple classifier approach and a standard one points out that the proposed algorithm provides an accurate detection of the temporal changes.</div></front></TEI><affiliations><list><country><li>Islande</li><li>Italie</li></country></list><tree><country name="Italie"><noRegion><name sortKey="Troglio, Giulia" sort="Troglio, Giulia" uniqKey="Troglio G" first="Giulia" last="Troglio">Giulia Troglio</name></noRegion><name sortKey="Alberti, Marina" sort="Alberti, Marina" uniqKey="Alberti M" first="Marina" last="Alberti">Marina Alberti</name><name sortKey="Moser, Gabriele" sort="Moser, Gabriele" uniqKey="Moser G" first="Gabriele" last="Moser">Gabriele Moser</name><name sortKey="Serpico, Bruno" sort="Serpico, Bruno" uniqKey="Serpico B" first="Bruno" last="Serpico">Bruno Serpico</name></country><country name="Islande"><noRegion><name sortKey="Troglio, Giulia" sort="Troglio, Giulia" uniqKey="Troglio G" first="Giulia" last="Troglio">Giulia Troglio</name></noRegion><name sortKey="Benediksson, Atli" sort="Benediksson, Atli" uniqKey="Benediksson A" first="Atli" last="Benediksson">Atli Benediksson</name><name sortKey="Stefansson, Einar" sort="Stefansson, Einar" uniqKey="Stefansson E" first="Einar" last="Stefánsson">Einar Stefánsson</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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