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Type: Artigo de periódico
Title: The image foresting transform: Theory, algorithms, and applications
Author: Falcao, AX
Stolfi, J
Lotufo, RDA
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: Dijkstra's algorithm
shortest-path problems
image segmentation
image analysis
regional minima
watershed transform
morphological reconstruction
boundary tracking
distance transforms
and multiscale skeletonization
Country: EUA
Editor: Ieee Computer Soc
Rights: fechado
Identifier DOI: 10.1109/TPAMI.2004.1261076
Date Issue: 2004
Appears in Collections:Artigos e Materiais de Revistas Científicas - Unicamp

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