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A fast and robust algorithm to segment the head from T1-weighted magnetic resonance (MR) volumes is presented based on robust determination of threshold from combination of the original volume (through employing the fuzzy c-means clustering which is insensitive to intensity inhomogeneity) and the average axial image (which suppresses the intensity noise), efficient connected component analysis through...
We propose two new methods to label connected components based on iterative recursion: one directly labels an original binary image while the other labels the boundary voxels followed by one-pass labelling of non-boundary object voxels. The novelty of the proposed methods is a fast labelling of large datasets without stack overflow and a flexible trade-off between speed and memory. For each iterative...
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