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Parallel distance transforms on a linear array architecture

dc.citation.epage81en_US
dc.citation.issue2en_US
dc.citation.spage73en_US
dc.citation.volume82en_US
dc.citation.woscount0
dc.contributor.authorChia, TLen_US
dc.contributor.authorWang, KBen_US
dc.contributor.authorChen, Zen_US
dc.contributor.authorLou, DCen_US
dc.contributor.department資訊科學與工程研究所zh_TW
dc.contributor.departmentInstitute of Computer Science and Engineeringen_US
dc.date.accessioned2014-12-08T15:42:29Z
dc.date.available2014-12-08T15:42:29Z
dc.date.issued2002-04-30en_US
dc.description.abstractDistance transformation (DT) has been widely used for image matching and shape analysis. In this paper, a parallel algorithm for computing distance transformation is presented. First, it is shown that the algorithm has an execution time of 6N - 4 cycles, for an N x N image using a parallel architecture that requires [N/2] parallel processors. By doing so, the real time requirement is fulfilled and its execution time is independent of the image contents. In addition, a partition method is developed to process an image when the parallel architecture has a fixed number of processing elements (PEs); say two or more. The total execution time for an N x N image by employing a fixed number of PEs is 2[N-2/M + 2(M - 1)], when M is the fixed number of PEs. (C) 2002 Elsevier Science B.V. All rights reserved.en_US
dc.identifier.doi10.1016/S0020-0190(01)00250-2en_US
dc.identifier.issn0020-0190en_US
dc.identifier.journalINFORMATION PROCESSING LETTERSen_US
dc.identifier.urihttp://dx.doi.org/10.1016/S0020-0190(01)00250-2en_US
dc.identifier.urihttps://ir.lib.nycu.edu.tw/handle/11536/28852
dc.identifier.wosnumberWOS:000174003100002
dc.language.isoen_USen_US
dc.subjectdistance transformationen_US
dc.subjectlinear arrayen_US
dc.subjectparallel processingen_US
dc.subjectpartition methoden_US
dc.titleParallel distance transforms on a linear array architectureen_US
dc.typeArticleen_US

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