Artículos de revistas
The Image Foresting Transform: Theory, Algorithms, And Applications.
Registro en:
Ieee Transactions On Pattern Analysis And Machine Intelligence. v. 26, n. 1, p. 19-29, 2004-Jan.
0162-8828
10.1109/TPAMI.2004.10012
15382683
Autor
Falcão, Alexandre X
Stolfi, Jorge
de Alencar Lotufo, Roberto
Institución
Resumen
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. 26 19-29
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