The Image Foresting Transform: Theory, Algorithms, And Applications.

dc.creatorFalcão, Alexandre X
dc.creatorStolfi, Jorge
dc.creatorde Alencar Lotufo, Roberto
dc.date2004-Jan
dc.date2015-11-27T12:58:27Z
dc.date2015-11-27T12:58:27Z
dc.date.accessioned2018-03-29T00:59:38Z
dc.date.available2018-03-29T00:59:38Z
dc.identifierIeee Transactions On Pattern Analysis And Machine Intelligence. v. 26, n. 1, p. 19-29, 2004-Jan.
dc.identifier0162-8828
dc.identifier10.1109/TPAMI.2004.10012
dc.identifierhttp://www.ncbi.nlm.nih.gov/pubmed/15382683
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/195955
dc.identifier15382683
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1296188
dc.descriptionThe image foresting transform (IFT) is a graph-based approach to the design of image processing operators based on connectivity. It naturally leads to correct and efficient implementations and to a better understanding of how different operators relate to each other. We give here a precise definition of the IFT, and a procedure to compute it-a generalization of Dijkstra's algorithm-with a proof of correctness. We also discuss implementation issues and illustrate the use of the IFT in a few applications.
dc.description26
dc.description19-29
dc.languageeng
dc.relationIeee Transactions On Pattern Analysis And Machine Intelligence
dc.relationIEEE Trans Pattern Anal Mach Intell
dc.rightsfechado
dc.rights
dc.sourcePubMed
dc.subjectAlgorithms
dc.subjectArtificial Intelligence
dc.subjectBrain
dc.subjectCluster Analysis
dc.subjectComputer Graphics
dc.subjectComputer Simulation
dc.subjectHumans
dc.subjectImage Enhancement
dc.subjectImage Interpretation, Computer-assisted
dc.subjectImaging, Three-dimensional
dc.subjectInformation Storage And Retrieval
dc.subjectMagnetic Resonance Imaging
dc.subjectNumerical Analysis, Computer-assisted
dc.subjectPattern Recognition, Automated
dc.subjectReproducibility Of Results
dc.subjectSensitivity And Specificity
dc.subjectSignal Processing, Computer-assisted
dc.subjectSubtraction Technique
dc.subjectUser-computer Interface
dc.titleThe Image Foresting Transform: Theory, Algorithms, And Applications.
dc.typeArtículos de revistas


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