Abstract
Isosurface generation from medical images was done using an oversampling method. The key idea of the proposed method was based on the fact that oversampling and downsampling together can improve the signal-to-noise (SNR) ratio. The procedure consisted of four phases: (1) oversampling of a voxel, (2) topology estimation, (3) low-pass filtering, and (4) downsampling. The effectiveness of the method was verified in terms of SNR, compactness, and surface roughness of the fabricated rapid prototyping parts.
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