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基于Snake 的点模型谷脊线提取与优化

  

  • 出版日期:2015-10-30 发布日期:2015-11-05

Extraction of Valley-Ridge Lines from Point-Sampled Geometry with Snake

  • Online:2015-10-30 Published:2015-11-05

摘要: 基于主动轮廓模型(Snake 模型),提出一种点模型的谷脊线提取与优化方法。首先
构建点模型的局部隐式曲面,并求出采样点的曲率值;然后通过求解主曲率极值点得到潜在谷脊
点,依据特征点的主方向连接谷脊点生成谷脊折线段;最后利用主动轮廓模型对谷脊折线段进行
优化。实验结果表明,算法是鲁棒的且能够生成光滑的谷脊线。

关键词: 点模型, 特征提取, 谷, 脊, Snake 模型

Abstract: Based on the active contour model, a robust algorithm is proposed for extracting and
optimizing valley-ridge lines from point-sampled geometry (PSG). First, local implicit surface of the
PSG is reconstructed, and the curvature of every sampling point is computed. Potential valley-ridge
points are then obtained by solving the extreme of the main curvature, and potential valley-ridge points
is connected into valley-ridge polylines according to the main direction of the feature points. Finally,
snake model is used to smooth the valley-ridge polyline. Experimental results show that the algorithm is
robust and can generate smooth valley-ridge lines.

Key words: point-sampled geometry, feature extraction, valley, ridge, Snake model