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Type: Artigo de periódico
Title: The Image Foresting Transform: Theory, Algorithms, And Applications.
Author: Falcão, Alexandre X
Stolfi, Jorge
de Alencar Lotufo, Roberto
Abstract: The 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.
Subject: Algorithms
Artificial Intelligence
Cluster Analysis
Computer Graphics
Computer Simulation
Image Enhancement
Image Interpretation, Computer-assisted
Imaging, Three-dimensional
Information Storage And Retrieval
Magnetic Resonance Imaging
Numerical Analysis, Computer-assisted
Pattern Recognition, Automated
Reproducibility Of Results
Sensitivity And Specificity
Signal Processing, Computer-assisted
Subtraction Technique
User-computer Interface
Citation: Ieee Transactions On Pattern Analysis And Machine Intelligence. v. 26, n. 1, p. 19-29, 2004-Jan.
Rights: fechado
Identifier DOI: 10.1109/TPAMI.2004.10012
Date Issue: 2004
Appears in Collections:Unicamp - Artigos e Outros Documentos

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