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基于几何图像的三角网格分割 被引量：1

Triangular Mesh Segmentation Based Geometry Image
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摘要 对反求工程中三角网格数据的分割算法进行研究,提出一种基于几何图像的三角网格分割方法。在网格参数化的基础上,改进几何图像的生成方法。结合形态学方法,用去除逼近项小波重建方法和梯度图像方法两种方法分割法矢图像,基于阈值法分割曲率图像,把几何图像的分割结果映射回到原始网格。实例表明基于几何图像的三角网格分割方法对没有复杂自由曲面的网格数据可以取得较好的分割效果。 The segmentation algorithm of triangular mesh in reverse engineering is studied. A geometric image based segmentation method is proposed. The generation method of geometric image is improved on the basis of parametrization of mesh. Combined with morphological method, two segmentation methods of normal image are proposed. One is based on wavelet reconstruction in which the approximation term is removed, and the other is based on gradient image. The threshold segmentation method of curvature image is also studied. The segmentation result of geometric image is mapped back to original mesh. Example illustrates that the geometric image based segmentation method can achieve satisfactory result for mesh data without complex free form surface.
作者 李奇敏 柯映林 何玉林
机构地区 重庆大学机械工程学院 浙江大学机械与能源工程学院
出处 《机械工程学报》 EI CAS CSCD 北大核心 2008年第5期208-214,共7页 Journal of Mechanical Engineering
基金 重庆大学引进人才资助项目启动基金(0903005104967) 重庆大学机械工程学院引进人才启动基金。
关键词 三角网格 几何图像 小波 梯度图像 分割 Triangular mesh Geometry image Wavelets Gradient image Segmentation
分类号 TP391 [自动化与计算机技术—计算机应用技术]
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参考文献19

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共引文献577

同被引文献12

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二级引证文献11

机械工程学报
2008年 第5期

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