3D-Wedgelet分解与工业CT体数据面特征提取
doi: 10.3724/SP.J.1146.2009.00903
3D-Wedgelet Decomposition and ICT Cubic Datas Surface Feature Extraction
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摘要: 面特征是描述工业CT体数据组成的重要成分之一。在工业CT体数据中,大部分的面特征不是以独立的形式存在,而是以不同灰度区域边缘面的形式存在。多尺度几何分析方法中的3D-Wedgelet恰好能有效刻画这种结构。该文先分析了单尺度下Planelet的形状和内在联系,得到一种快速3D-Wedgelet分解方法。以此为基础,提出两种提取工业CT体数据面特征的方法。(1)基于多尺度3D-Wedgelet分解提取工业CT体数据的面特征。(2)先将体数据在3个相互垂直的方向上分别进行切片划分,再对每组切片序列进行基于多尺度Wedgelet分解的线特征提取,最后融合3个方向的线特征得到体数据的面特征。数字实验验证了该文方法可有效提取工业CT体数据的面特征。
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关键词:
- 面特征提取 /
- 3D-Wedgelet /
- 工业CT /
- 体数据
Abstract: Surface is one of the important features in industrial CT (ICT) cubic data. In actual, most of the surface features do not exist alone, but exist in the form of different gray regions. 3D-Wedgelet, one of the multiscale geometric analysis methods, provides a powerful competence to describe this structure. After analyzing the component and relation of Planelet in mono-scale, a fast 3D-Wedgelet decomposition method is gained. On the basis of it, two ICT cubic datas surface feature extraction methods are proposed. The first one is based on multiscale 3D-Wedgelet decomposition. The second one is composed of several parts as follows, first dividing the ICT cubic data into 3 slice group in 3 perpendicular directions each other, then extracting linear features based on multiscale Wedgelet decomposition, finally fusing the 3 slice groups linear features to gain surface features. Numerical experimental results show that the methods can extract the surface features of ICT cubic data effectively.-
Key words:
- Surface feature extraction /
- 3D-Wedgelet /
- Industrial CT (ICT) /
- Cubic data
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