| 医学图像三维重建中的关键算法 |
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| 引用本文： | 方欣. 医学图像三维重建中的关键算法[J]. 泰山学院学报, 2007, 29(3): 64-67 |
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| 作者姓名： | 方欣 |
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| 作者单位： | 湖南理工学院,计算机与信息工程系,湖南,岳阳,414006 |
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| 摘 要： | 本文主要讨论了基于序列图像的三维重建中的两个关键算法:特征数据点列的重采样算法与三角化算法.本文把Douglas-Peucker线性简化算法应用在特征边界的重采样上,数据的压缩比得到了明显的改善,也显著地提高了可视化处理速度.并使用一种简单的三角化算法,对重采样后的数据点列进行三角化,实现目标的三维重建.
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| 关 键 词： | 图像序列 三维重建 重采样 三角化 |
| 文章编号： | 1672-2590（2007）03-0064-04 |
| 修稿时间： | 2007-02-20 |
The algorithm about 3D reconstruction of image sequences |
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| FANG Xin. The algorithm about 3D reconstruction of image sequences[J]. Journal of Taishan University, 2007, 29(3): 64-67 |
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| Authors: | FANG Xin |
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| Affiliation: | Department of Computers and Information Engineering, Hunan Institute of Science and Technology, Yueyang 414006,China |
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| Abstract: | This paper discusses two important algorithms in 3D reconstruction of image sequences,i.e.re-sampling algorithm and triangulation algorithm.An improved algorithm for Doulas-Peucker Line-Simplification is presented.This algorithm can improve the performance of re-sampling and 3D data field visualization.Triangulation is implemented by using a simple triangulation algorithm.Sequentially,3D object reconstruction is achieved. |
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| Keywords: | image sequence 3D reconstruction re-sampling triangulation |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
