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dc.contributor.authorSimone, Gabriele
dc.contributor.authorAudino, Giuseppe
dc.contributor.authorFarup, Ivar
dc.contributor.authorRizzi, Alessandro
dc.date.accessioned2012-03-07T11:52:46Z
dc.date.available2012-03-07T11:52:46Z
dc.date.issued2012
dc.identifier.citationSimone, G., Farup, I., Audino, G. & Rizzi, A. (2012). Termites: a Retinex implementation based on a colony of agents. Proceedings of SPIE, the International Society for Optical Engineering, 8292.no_NO
dc.identifier.issn0277-786X
dc.identifier.urihttp://hdl.handle.net/11250/142544
dc.descriptionThis is the copy of journal's version originally published in Proc. SPIE 8292: http://dx.doi.org/10.1117/12.910276. Reprinted with permission of SPIE.no_NO
dc.description.abstractThis paper describes a novel implementation of the Retinex algorithm with the exploration of the image done by an ant swarm. In this case the purpose of the ant colony is not the optimization of some constraints but is an alternative way to explore the image content as diffused as possible, with the possibility of tuning the exploration parameters to the image content trying to better approach the Human Visual System behavior. For this reason, we used “termites”, instead of ants, to underline the idea of the eager exploration of the image. The paper presents the spatial characteristics of locality and discusses differences in path exploration with other Retinex implementations. Furthermore a psychophysical experiment has been carried out on eight images with 20 observers and results indicate that a termite swarm should investigate a particular region of an image to find the local reference white.no_NO
dc.language.isoengno_NO
dc.publisherSociety of Photo Optical Instrumentation Engineers (SPIE)no_NO
dc.subjectRetinex algorithmno_NO
dc.subjectimage contentno_NO
dc.titleTermites: a Retinex implementation based on a colony of agentsno_NO
dc.typeJournal articleno_NO
dc.typePeer reviewedno_NO
dc.subject.nsiVDP::Mathematics and natural science: 400::Information and communication science: 420::Simulation, visualization, signal processing, image processing: 429no_NO
dc.source.pagenumber10no_NO
dc.source.volume8292no_NO
dc.source.journalProceedings of SPIE, the International Society for Optical Engineeringno_NO
dc.identifier.doihttp://dx.doi.org/10.1117/12.910276no_NO


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