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体数据的多精度等值面抽取 被引量:1

Multiresolutional Isosurface Constructing from Volume Data
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摘要 MarchingCubes(MC)算法是一个被广泛应用的体数据等值面抽取算法。本文提出的MarchingBoxes(MB)算法结合显示所需精度,对MC算法作了优化,减少了由MC算法生成的三角面片数,使实时观察体数据成为可能。在保留图象细节的前提下,MB算法输出的三角面片数比MC算法减少了一半以上,从而加快了体数据的面绘制速度。 A widely used isosurface construction algorithm is called Marching Cubes Algorithm (MC), which produces triangle represented isosurface from volume data. The algorithm given in this article solves a problem in MC and gives half cut triangles in a volume data with no obvious quality deduction. The algorithm is called Marching Boxes Algorithm.
出处 《中国图象图形学报(A辑)》 CSCD 1997年第2期161-164,共4页 Journal of Image and Graphics
基金 国家自然科学基金
关键词 等值面 体数据 可视化 MC算法 图象处理 Isosurface, Volume data, Visualiztion, Marching cubes algorithm, Marching boxes algorithm
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  • 1姜园,张朝阳,仇佩亮,周东方.用于数据挖掘的聚类算法[J].电子与信息学报,2005,27(4):655-662. 被引量:68
  • 2马瑜,王利生,唐渊圆.三维图像中阶梯型边缘曲面的追踪算法[J].计算机辅助设计与图形学学报,2007,19(3):329-333. 被引量:16
  • 3Goshtasby A A, Sonka M, Udupa J K. Analysis of volumetric image [J]. Computer Vision & Image Understanding, 2000, 77 (2): 79-83.
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  • 6Wang Li-sheng, Bai Jing, He Ping, et al. Isosurface computation for approximating the boundary surfaces within 3D images[ J]. Journal of Electronic Imaging,2007, 16 ( 1 ) : 1 - 12.
  • 7Wang Li-sheng, Bai Jing, He Ping, et al. A computational framework for approximating boundary surfaces in 3D biomedical images [ J ]. IEEE Transactions on Information Technology in Biomedicine, 2007,11 ( 6 ) :668-682.
  • 8Bajaj C L, Pascucci V, Schikore D R. The contour spectrum [ A ]. In: Proceedings of IEEE Conference on Visualization [ C ], Phoenix, Arizona, USA, 1997 : 167-173.
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  • 10Wang Li-sheng, Bai Jing, Ying Kui. Adaptive approximation of the boundary surface of a neuron in confocal microscopy volumetric images [ J ]. Medical & Biological Engineering & Computing, 2003,41 (4) : 601-607.

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