The image foresting transform: theory, algorithms, and applications

IEEE Transactions on Pattern Analysis and Machine Intelligence
Alexandre Xavier FalcãoRoberto de Alencar Lotufo

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.

Citations

May 19, 2010·PloS One·Manuel Guillermo ForeroAlicia Hidalgo
Feb 13, 2018·The International Journal of Cardiovascular Imaging·Viacheslav V DanilovNikolay V Vasilyev
Aug 20, 2019·Medical Physics·Samuel Botter MartinsClarissa Lin Yasuda
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Dec 25, 2009·International Journal of Computer Assisted Radiology and Surgery·Claude Kauffmann, Nicolas Piché
Jul 18, 2019·Scientific Reports·Akshaya C NikumbhG S Bhat
Feb 18, 2010·Cytometry. Part a : the Journal of the International Society for Analytical Cytology·Manuel G ForeroAlicia Hidalgo
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Aug 10, 2020·Computers in Biology and Medicine·D OsakuA X Falcão

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