The Image Forest Transform Architecture

dc.creatorCappabianco F.A.M.
dc.creatorAraujo G.
dc.creatorFalcao A.X.
dc.date2007
dc.date2015-06-30T18:38:53Z
dc.date2015-11-26T15:01:44Z
dc.date2015-06-30T18:38:53Z
dc.date2015-11-26T15:01:44Z
dc.date.accessioned2018-03-28T22:12:43Z
dc.date.available2018-03-28T22:12:43Z
dc.identifier1424414725; 9781424414727
dc.identifierIcfpt 2007 - International Conference On Field Programmable Technology. , v. , n. , p. 137 - 144, 2007.
dc.identifier
dc.identifier10.1109/FPT.2007.4439242
dc.identifierhttp://www.scopus.com/inward/record.url?eid=2-s2.0-50149120931&partnerID=40&md5=e7fca6e35b046184c5495a8ea07d90d1
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/104146
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/104146
dc.identifier2-s2.0-50149120931
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1256340
dc.descriptionThe Image Foresting Transform (IFT) is e a generic technique that uses simple variations ofthe same core algorithm to construct many image processing operators like watershed transforms, edge tracking, geodesic paths, among others. In this paper we propose the Silicon IFT (SIFT), an FPGA-based architecture that leverages on the IFTflexibility to build a fast image processing architecture capable of implementing IFT operators in hardware. Our experiments have shown that SIFT can reach speedups of5600 upon the correspondent software implementation. Moreover; they exhibit excellent execution times as compared to recent dedicated image processing architectures. © 2007 IEEE.
dc.description
dc.description
dc.description137
dc.description144
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dc.languageen
dc.publisher
dc.relationICFPT 2007 - International Conference on Field Programmable Technology
dc.rightsfechado
dc.sourceScopus
dc.titleThe Image Forest Transform Architecture
dc.typeActas de congresos


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