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

Raptis, SN; Tzafestas, SG

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