Reconstructing Geometrically Consistent Tree Structures from Noisy Images
We present a novel approach to fully automated reconstruction of tree structures in noisy 2D images. Unlike in earlier approaches, we explicitly handle crossovers and bifurcation points, and impose geometric constraints while optimizing a global cost function. We use manually annotated retinal scans to evaluate our method and demonstrate that it brings about a very substantial improvement.
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Record created on 2010-06-21, modified on 2017-02-27