Title :
The image foresting transform: theory, algorithms, and applications
Author :
Falcão, Alexandre X. ; Stolfi, Jorge ; de Alencar Lotufo, Roberto
Author_Institution :
Inst. of Comput., Univ. Campinas, Compinas, Brazil
fDate :
1/1/2004 12:00:00 AM
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.
Keywords :
algorithm theory; generalisation (artificial intelligence); graph theory; image processing; transforms; Dijkstra´s algorithm generalization; image foresting transform; image processing operators design; mathematical morphology; Algorithm design and analysis; Cost function; Floods; Helium; Image color analysis; Image processing; Image reconstruction; Image segmentation; Pixel; Process design;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
DOI :
10.1109/TPAMI.2004.1261076