Image Foresting Transform: On-the-Fly Computation of Segmentation Boundaries
The Image Foresting Transform (IFT) is a framework for seeded image segmentation, based on the computation of minimal cost paths in a discrete representation of an image. In two recent publications, we have shown that the segmentations obtained by the IFT may be improved by refining the segmentation locally around the boundaries between segmented regions. Since these methods operate on a small sub-set of the image elements only, they may be implemented efficiently if the set of boundary elements is known. Here, we show that this set may be obtained on-the-fly, at virtually no additional cost, as a by-product of the IFT algorithm.
KeywordsInteractive Image Segmentation Image Foresting Transform
- 10.Malmberg, F., Nyström, I., Mehnert, A., Engstrom, C., Bengtsson, E.: Relaxed image foresting transforms for interactive volume image segmentation. In: Dawant, B.M., Haynor, D.R. (eds.) Proceedings of SPIE Medical Imaging, vol. 7623. SPIE, San Jose (2010)Google Scholar