[Insight-developers] The Insight Journal-New Submission

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Hello,
A new submission has been added to the Insight Journal.

Title: Parallel 3D Exact Signed Euclidean Distance Transform
Author(s): Staubs, Robert; Fedorov, Andriy; Linardakis, Leonidas; Dunton, Benjamin; Chrisochoides, Nikos
Abstract: 
The computation speed for distance transforms becomes important in a wide variety of image processing applications. Current ITK library filters do not see any benefit from a multithreading environment. We introduce a three-dimensional signed parallel implementation of the exact Euclidean distance transform algorithm developed by Maurer et al. with a theoretical complexity of O(n/p) for n voxels and p threads. Through this parallelization and efficient use of data structures we obtain approximately 3
times mean speedup on standard tests on a 4-processor machine compared with the current ITK exact Euclidean distance transform filter.

Download the paper at: http://hdl.handle.net/1926/307
Review the paper at: http://insight-journal.org

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