Delineating Trees in Noisy 2D Images and 3D Image Stacks

We present a novel approach to fully automated delineation of tree structures in noisy 2D images and 3D image stacks. Unlike earlier methods that rely mostly on local evidence, our method builds a set of candidate trees over many different subsets of points likely to belong to the final one and then chooses the best one according to a global objective function. Since we are not systematically trying to span all nodes, our algorithm is able to eliminate noise while retaining the right tree structure.


Published in:
2010 Ieee Conference On Computer Vision And Pattern Recognition (Cvpr), 2799-2806
Presented at:
International Conference on Computer Vision and Pattern Recognition
Year:
2010
ISBN:
978-1-4244-6984-0
Keywords:
Laboratories:




 Record created 2011-03-04, last modified 2018-03-18

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