The Image Foresting Transform: Theory, Algorithms, and Applications
IEEE Transactions on Pattern Analysis and Machine Intelligence
Watersheds, mosaics, and the emergence paradigm
Discrete Applied Mathematics - Special issue: Advances in discrete geometry and topology (DGCI 2003)
Uniquely-Determined Thinning of the Tie-Zone Watershed Based on Label Frequency
Journal of Mathematical Imaging and Vision
Technical Section: O-Buffer based IFT watershed from markers for large medical datasets
Computers and Graphics
Automatic Image Segmentation by Tree Pruning
Journal of Mathematical Imaging and Vision
Sub-pixel Segmentation with the Image Foresting Transform
IWCIA '09 Proceedings of the 13th International Workshop on Combinatorial Image Analysis
Watersheds, mosaics, and the emergence paradigm
Discrete Applied Mathematics - Special issue: Advances in discrete geometry and topology (DGCI 2003)
Relationships between some watershed definitions and their tie-zone transforms
Image and Vision Computing
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Abstract. The watershed transform and the morphological reconstruction are two of the most important operators for image segmentation in the framework of mathematical morphology. In many situations, the segmentation requires the classical watershed transform of a reconstructed image. In this paper, we introduce the IFT-watershed from gray scale marker - a method to compute at same time, the reconstruction and the classical watershed transformof the reconstructed image, without explicit computation of any regional minima. The method is based on the Image Foresting Transform (IFT) - a unified and efficient approach to reduce image processing problems to a minimum-cost path forest problem in a graph. As additional contributions, we demonstrate that (i) the cost map of the IFT-watershed from markers is identical to the output of the superior gray scale reconstruction; (ii) other reconstruction algorithms are not watersheds; and (iii) the proposed method achieves competitive advantages as compared to the current classical watershed approach.