一种曲线平滑的自适应方法

An Adaptive Algorithm of Curve's Smoothing

基于曲线的参数方程和信号平滑滤波以及方向链码的基本思想，提出了一种基于Ｆｒｅｅｍａｎ链码和以张长为参数的参数方程的离散曲线自适应平滑算法，解决了图象处理中曲线提取后存在的不光滑问题。最后给出了一些对比实验结果，证明了本算法的有效性。

Based on the basic theory of signal smoothing and parameter equation, a quick algorithm of curve's smoothing is proposed in this paper. The discrete curve Obtained form 2-D image is translated into the parameter space, and the processing of smoothing based on the two parameter equations x(s) and y(s) are carried out respectively. In this step. an adapted method is used, in which the windows' size will vary with the feature values, and the feature values are computed to identify the extent of noise in curve. And the algorithm is verified to be right. Finally, some examples are given.