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引用次数: 20
摘要
介绍了一种利用x射线CT扫描从机械零件的体积模型中提取边界面的方法。当体积模型由两种材料组成时,一种材料用于物体,另一种材料用于背景(空气),这些边界表面可以使用诸如Marching Cubes的等高线方法作为等值面提取[Lorensen and Cline 1987]。对于由两种以上材料组成的体积模型,我们需要将体素类型按材料分类,并使用可以处理CT值和材料类型的广义行军立方体算法。本文提出了一种将两种著名的图像分割算法(区域生长算法和图切算法)进行改进和组合的方法来精确地将体积模型分类到其组成材料中。然后,我们应用广义行军立方体算法生成三角网格曲面。此外,通过构建高质量的三角网格模型,验证了该方法的有效性。
Extraction of isosurfaces from multi-material CT volumetric data of mechanical parts
We introduce a method for extracting boundary surfaces from volumetric models of mechanical parts by X-ray CT scanning. When the volumetric model is composed of two materials, one for the object and the other for the background (Air), these boundary surfaces can be extracted as isosurfaces using a contouring method such as Marching Cubes [Lorensen and Cline 1987]. For a volumetric model composed of more than two materials, we need to classify the voxel types into segments by material and use a generalized Marching Cubes algorithm that can deal with both CT values and material types. Here we propose a method for precisely classifying the volumetric model into its component materials using a modified and combined method of two well-known algorithms in image segmentation, region growing and Graph-cut. We then apply the generalized Marching Cubes algorithm to generate triangulated mesh surfaces. In addition, we demonstrate the effectiveness of our method by constructing high-quality triangular mesh models of the segmented parts.