CSDL Home IEEE Transactions on Pattern Analysis & Machine Intelligence 2004 vol.26 Issue No.01 - January
Issue No.01 - January (2004 vol.26)
<p><b>Abstract</b>—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.</p>
Dijkstra's algorithm, shortest-path problems, image segmentation, image analysis, regional minima, watershed transform, morphological reconstruction, boundary tracking, distance transforms, and multiscale skeletonization.
Alexandre X. Falc?, Jorge Stolfi, Roberto de Alencar Lotufo, "The Image Foresting Transform: Theory, Algorithms, and Applications", IEEE Transactions on Pattern Analysis & Machine Intelligence, vol.26, no. 1, pp. 19-29, January 2004, doi:10.1109/TPAMI.2004.10012