2006
DOI: 10.1007/s00170-004-2136-1
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High-quality isosurface generation using an oversampling method

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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Cited by 3 publications
(1 citation statement)
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“…The Fourier transform was also used in the morphing technique of the volumetric model [12], the modeling through the generalized cylinder [13], and biomedical modeling [14,15]. With the Fourier transform, Bertram et al [16] proposed a wavelet representation of contours for the compression and the hierarchy of multi-resolution representation.…”
Section: Geometric Fourier Analysismentioning
confidence: 99%
“…The Fourier transform was also used in the morphing technique of the volumetric model [12], the modeling through the generalized cylinder [13], and biomedical modeling [14,15]. With the Fourier transform, Bertram et al [16] proposed a wavelet representation of contours for the compression and the hierarchy of multi-resolution representation.…”
Section: Geometric Fourier Analysismentioning
confidence: 99%