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dc.contributor.authorEsen, E.en_US
dc.contributor.authorAlp, Yaşar Kemalen_US
dc.coverage.spatialEskişehir, Turkeyen_US
dc.date.accessioned2016-02-08T11:41:30Zen_US
dc.date.available2016-02-08T11:41:30Zen_US
dc.date.issued2007en_US
dc.identifier.issn2165-0608en_US
dc.identifier.urihttp://hdl.handle.net/11693/26995en_US
dc.descriptionDate of Conference: 11-13 June 2007en_US
dc.descriptionConference Name: 15th Signal Processing and Communications Applications, IEEE 2007en_US
dc.description.abstractThe lack of boundary information in region based image segmentation algorithms resulted in many hybrid methods that integrate the complementary information sources of region and boundary, in order to increase the segmentation performance. In compliance with this trend, we propose a novel method to unify the region and boundary characteristics within the canonical Recursive Shortest Spanning Tree algorithm. The main idea is to incorporate the boundary information in the distance metric of RSST with minor changes in the algorithm. Additionaly, we still benefit from the simple yet powerful structure of RSST. The results indicate the superiority of the proposed algorithm with respect to the conventional RSST. The object boundaries are successfully preserved. Therefore, the proposed algorithm is a candidate for video object segmentation where object boundaries coincide with motion field boundaries.en_US
dc.language.isoTurkishen_US
dc.source.titleProceedings of the 15th Signal Processing and Communications Applications, IEEE 2007en_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/SIU.2007.4298597en_US
dc.subjectBoundary characteristicsen_US
dc.subjectBoundary informationen_US
dc.subjectComplementary informationen_US
dc.subjectDistance metricen_US
dc.subjectHybrid methodsen_US
dc.subjectImage segmentationen_US
dc.subjectObject segmentationen_US
dc.subjectObject boundariesen_US
dc.subjectRegion based image segmentationen_US
dc.subjectSegmentation performanceen_US
dc.subjectSpanning tree algorithmsen_US
dc.titleImage segmentation with unified region and boundary characteristics within recursive shortest spanning treeen_US
dc.title.alternativeÖzyineli en kısa kapsayan ağaç algoritmasında bölgesel ve sınırsal bilginin birleştirimi ile imge bölütlemeen_US
dc.typeConference Paperen_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.identifier.doi10.1109/SIU.2007.4298597en_US
dc.publisherIEEEen_US


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