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DC poleHodnotaJazyk
dc.contributor.authorStoev, Stanislav L.
dc.contributor.editorSkala, Václav
dc.date.accessioned2015-09-25T07:58:49Z
dc.date.available2015-09-25T07:58:49Z
dc.date.issued2000
dc.identifier.citationJournal of WSCG. 2000, vol. 8, no. 1-3.en
dc.identifier.issn1213-6972 (print)
dc.identifier.issn1213-6980 (CD-ROM)
dc.identifier.issn1213-6964 (online)
dc.identifier.urihttp://wscg.zcu.cz/wscg2000/wscg_2000_program.htm
dc.identifier.urihttp://hdl.handle.net/11025/15964
dc.format8 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherVáclav Skala - UNION Agencycs
dc.relation.ispartofseriesJournal of WSCGen
dc.rights© Václav Skala - UNION Agencycs
dc.subjectrozvodí transformacecs
dc.subjectsimulace deštěcs
dc.subjectsegmentace obrazucs
dc.subjectgeodetické rekonstrukcecs
dc.subjectpovodícs
dc.titleRaFSi – a FastWatershed algorithm based on rainfalling simulationen
dc.typečlánekcs
dc.typearticleen
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedIn this paper, we present a fast watershed algorithm based on the rainfalling simulation. We present the various techniques and data structures utilized in our approach. Throughout this work, the processing of large data sets (images as well as volume data) is especially emphasized. The results’ correctness, the fast execution time, and the memory requirements are discussed in detail. First we introduce a sequential algorithm and discuss the cases, where the known algorithm produces erroneous results. Afterwards, the presented watershed algorithm is compared with immersion based watershed algorithms with respect to running time and memory requirements.en
dc.subject.translatedwatershed transformationen
dc.subject.translatedrainfalling simulationen
dc.subject.translatedimage segmentationen
dc.subject.translatedgeodesic reconstructionen
dc.subject.translatedwatershedsen
dc.type.statusPeer-revieweden
Vyskytuje se v kolekcích:Volume 8, number 1-3 (2000)

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