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Skeleton graph generation for feature shape description

机译:骨架图形生成功能形状描述

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An essential step in feature extraction is the calculation of attribute sets describing the characteristics of a feature. Often, attribute sets include the position, size, and orientation of the feature. These attributes are very important, but they do not provide a good approximation of the shape of a feature. For better shape description, a more sophisticated method is needed. This paper describes a method that extracts a binary skeleton of a feature, and transforms it into a graphical representation: the skeleton graph. This graph represents the original skeleton with controlled precision, and contains the essential topology and geometry of the skeleton. In addition, distance information is used to generate a simplified reconstruction of the original 3D feature shape, which can also be used as an iconic object for visualization.
机译:特征提取中的基本步骤是计算描述特征特征的属性集。通常,属性集包括该功能的位置,大小和方向。这些属性非常重要,但它们不提供特征形状的良好近似。为了更好地描述,需要更复杂的方法。本文介绍了一种提取特征的二进制骨架的方法,并将其转换为图形表示:骨架图。该图表代表具有受控精度的原始骨架,并包含骨骼的基本拓扑和几何形状。另外,距离信息用于生成原始3D特征形状的简化重建,其也可以用作用于可视化的标志性物体。

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