Multispectral images segmentation using new fuzzy cluster centroid modified

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dc.contributor.authorMantilla, Luis
dc.contributor.authorYari Ramos, Yessenia Deysi
dc.date.accessioned2019-01-29T22:19:50Z
dc.date.available2019-01-29T22:19:50Z
dc.date.issued2017
dc.description.abstractThe presence of outliers, noise, corrupt pieces of data and great quantity of samples in a multispectral image, makes the segmentation analysis work tedious. The fuzzy clustering approach, specially, is susceptible to inhomogeneity of characteristics. Furthermore, many algorithms such us FCM, PFCM, FCC, FWCM and modification aim to solve these problems by integrating spacial information. This process is carried through the analysis of the sample's neighborhood. This paper proposes the integration of the sample presence probability into a 'term' like form inside the existent model NFCC. This algorithm presents the basic steps for fuzzy clustering. With a middle variant that integrates the measure between each sample to all the centroids, this replaces the existent term by a new term. This new term integrates the spatial relationship between each sample of the multispectral image into a fitting term. The method is applied to multispectral images. Overall accuracy indicates that the term integrated to NFCC model decrease the overall cluster overlapping. © 2017 IEEE.es_PE
dc.description.uriTrabajo de investigaciónes_PE
dc.identifier.doihttps://doi.org/10.1109/INTERCON.2017.8079724es_PE
dc.identifier.isbnurn:isbn:9781509063628es_PE
dc.identifier.urihttps://hdl.handle.net/20.500.12590/15780
dc.language.isoenges_PE
dc.publisherInstitute of Electrical and Electronics Engineers Inc.es_PE
dc.relation.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85039985402&doi=10.1109%2fINTERCON.2017.8079724&partnerID=40&md5=ffee478f08343cf6495a05d0126ad124es_PE
dc.rightsinfo:eu-repo/semantics/restrictedAccesses_PE
dc.sourceRepositorio Institucional - UCSPes_PE
dc.sourceUniversidad Católica San Pabloes_PE
dc.sourceScopuses_PE
dc.subjectClassification (of information)es_PE
dc.subjectFuzzy clusteringes_PE
dc.subjectCluster centroidses_PE
dc.subjectClustering approaches_PE
dc.subjectMultispectral imageses_PE
dc.subjectProbability informationses_PE
dc.subjectSatellite imageses_PE
dc.subjectSegmentation analysises_PE
dc.subjectSpatial relationshipses_PE
dc.subjectUnsupervised classificationes_PE
dc.subjectImage segmentationes_PE
dc.subject.ocdehttps://purl.org/pe-repo/ocde/ford#1.02.00es_PE
dc.titleMultispectral images segmentation using new fuzzy cluster centroid modifiedes_PE
dc.typeinfo:eu-repo/semantics/conferenceObject
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