A new feature-points extraction algorithm is proposed, which USES least square method fitting contour curve and combines slope, curvature information to extract feature-points.
提出一种新的轮廓特征点提取方法，它利用最小二乘法拟合轮廓曲线，结合斜率、曲率信息提取特征点。
A new algorithm, which can extract closed contour set according to the structure of a part from series of measured layers, was presented.
针对由序列断层测量轮廓的三维重建，提出了基于物体结构特征的封闭轮廓集分割算法。
Secondly, for each searching path, adaptive searching schemes are designed to extract the true contour point, and to discard false contour point.
然后，利用设计的自适应搜索算法，对于每一条搜索路径提取出真正的轮廓点；
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