Short memory fuzzy fusion image recognition schema employing spatial and fourier descriptors

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dc.contributor.author Raptis, SN en
dc.contributor.author Tzafestas, SG en
dc.date.accessioned 2014-03-01T02:41:59Z
dc.date.available 2014-03-01T02:41:59Z
dc.date.issued 2001 en
dc.identifier.issn 0277786X en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/30716
dc.subject Feature fusion en
dc.subject Fourier-texture descriptors en
dc.subject Fuzzy sets en
dc.subject Probabilistic fusion en
dc.subject.other Fourier transforms en
dc.subject.other Fuzzy sets en
dc.subject.other Pattern recognition en
dc.subject.other Probabilistic logics en
dc.subject.other Sensor data fusion en
dc.subject.other Fourier descriptors en
dc.subject.other Image analysis en
dc.title Short memory fuzzy fusion image recognition schema employing spatial and fourier descriptors en
heal.type conferenceItem en
heal.identifier.primary 10.1117/12.421119 en
heal.identifier.secondary http://dx.doi.org/10.1117/12.421119 en
heal.publicationDate 2001 en
heal.abstract Single images quite often do not bear enough information for precise interpretation due to a variety of reasons. Multiple image fusion and adequate integration recently became the state of the art in the pattern recognition field. In the paper presented here an enhanced multiple observation schema is discussed investigating improvements to the baseline fuzzy-probabilistic image fusion methodology. The first innovation introduced consists in considering only a limited but seemingly more effective part of the uncertainty information obtained by a certain time restricting older uncertainty dependencies and alleviating computational burden that is now needed for a short sequence (stored into memory) of samples. The second innovation essentially establishes a new variant to the method applying conditional uncertainty reasoning separately for each single feature instead of equally grouping them into feature-blind object hypotheses. Experiment settings include a sequence of independent views obtained by a camera being moved around the investigated object. en
heal.journalName Proceedings of SPIE - The International Society for Optical Engineering en
dc.identifier.doi 10.1117/12.421119 en
dc.identifier.volume 4385 en
dc.identifier.spage 313 en
dc.identifier.epage 322 en

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