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. Author manuscript; available in PMC: 2010 Aug 1.
Published in final edited form as: IEEE Trans Image Process. 2009 Apr 17;18(8):1817–1829. doi: 10.1109/TIP.2009.2021081

Fig. 1.

Fig. 1

Active mask algorithm. In the basic block, the region-based and voting-based distributing functions work in concert to first separate foreground from background and then iteratively separate masks in the foreground. In the multiscale block, we look at local areas at multiple scales to allow the algorithm to discern cell boundaries and escape local optima. In the multiresolution block, we start at a coarse scale to obtain a fast first segmentation, and then change the scale to refine the result.