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The image foresting transform: Theory, algorithms, and applications
被引：391
作者：
Falcao, AX
Stolfi, J
Lotufo, RDA
机构：
[1] Univ Estadual Campinas, Inst Comp, BR-13084851 Campinas, SP, Brazil
[2] Univ Estadual Campinas, Fac Elect & Comp Engn, BR-13083970 Campinas, SP, Brazil
关键词：
Dijkstra's algorithm;
shortest-path problems;
image segmentation;
image analysis;
regional minima;
watershed transform;
morphological reconstruction;
boundary tracking;
distance transforms;
and multiscale skeletonization;
D O I：
10.1109/TPAMI.2004.1261076
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ;
0812 ;
0835 ;
1405 ;
摘要：
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.
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页码：19 / 29
页数：11
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