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Pulse coupled neural networks with adaptive synapses for image segmentation

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dc.contributor.authorSchreiter, Jörg
dc.contributor.authorRamacher, Ulrich
dc.contributor.authorHeittmann, Arne
dc.contributor.authorMatolin, Daniel
dc.contributor.authorSchüffny, René
dc.contributor.editorBrinkschulte, Uwe
dc.contributor.editorBecker, Jürgen
dc.contributor.editorFey, Dietmar
dc.contributor.editorGroßpietsch, Karl-Erwin
dc.contributor.editorHochberger, Christian
dc.contributor.editorMaehle, Erik
dc.contributor.editorRunkler, Thomas A.
dc.date.accessioned2019-10-30T11:53:38Z
dc.date.available2019-10-30T11:53:38Z
dc.date.issued2004
dc.description.abstractA network of integrate-and-fire neurons with reciprocal synaptic connections to the four next neighbors is considered. The input to each neuron is the feature of an image, i.e. light intensity. Like in the biological archetype synchronization shall be used as an indicator if the input in certain neurons are related or not. Two rules for the unsupervised adaption of the synaptic weigths have been derived to achieve segmentation image of areas belonging to the same feature.en
dc.identifier.isbn3-88579-370-9
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/29376
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofARCS 2004 – Organic and pervasive computing
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-41
dc.titlePulse coupled neural networks with adaptive synapses for image segmentationen
dc.typeText/Conference Paper
gi.citation.endPage282
gi.citation.publisherPlaceBonn
gi.citation.startPage275
gi.conference.dateMarch 26, 2004
gi.conference.locationAugsburg
gi.conference.sessiontitleRegular Research Papers

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P041 - ARCS 2004 - Organic and Pervasive Computing