在图像分析中，离散曲线的切线估计是一个重要的步骤。
The estimation of discrete tangent is an important step in the analysis of images.
同时，离散曲线演化模型有效的抑制了冗余骨架支的产生，得到了符合人类视觉规律的多尺度骨架。
Meanwhile, the redundant skeleton branches are eliminated by Discrete Curve Evolution model, the visual branches are remained completely, the skeleton from this algorithm satisfy human vision.
研究了用圆弧曲率估算截面数据离散曲率的方法和特征点提取方法，提出了基于曲线拟合的截面特征识别方法。
Other preprocessing methods such as discrete curvature estimation and feature point extraction are also studied, and a section-feature recognition algorithm, based on curve fitting, is proposed.
提出用离散曲率法提取特征点，曲率表达式包含了高斯核函数曲线，选用了合适的离散尺度因子。
The discrete curvature arithmetic was used to extract feature points, which the curvature expression contains Gaussian nuclear function and chooses appropriate discrete scale factor.
提出用离散曲率法提取特征点，曲率表达式包含了高斯核函数曲线，选用了合适的离散尺度因子。
The discrete curvature arithmetic was used to extract feature points, which the curvature expression contains Gaussian nuclear function and chooses appropriate discrete scale factor.
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