Abstract
In this paper we formulate the generalized median surface problem and present its exact solution by means of an optimal 3D graph search algorithm. In addition to the general interest in median surface computation our work is also motivated by the task of parameter space exploration without ground truth, which is an effective means of dealing with the difficult parameter problem. A concrete application in this context will be demonstrated on artery boundary detection in ultrasound data. It will be shown that the median computation can not only avoid the parameter training, but also potentially achieve even better results than with trained parameters. Particularly in situations with no available ground truth, the median-based approach can thus be a good alternate.
This work is supported by NSFC, Grant No. 90920008.
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Wu, Z., Jiang, X., Zheng, N., Liu, Y., Cheng, D. (2013). Exact Computation of Median Surfaces Using Optimal 3D Graph Search. In: Kropatsch, W.G., Artner, N.M., Haxhimusa, Y., Jiang, X. (eds) Graph-Based Representations in Pattern Recognition. GbRPR 2013. Lecture Notes in Computer Science, vol 7877. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38221-5_25
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DOI: https://doi.org/10.1007/978-3-642-38221-5_25
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