An Adaptive Local Smoothing for Contour Figure Approximation
An Adaptive Local Smoothing for Contour Figure Approximation
复制标题
轮廓图逼近的自适应局部平滑
DOI：
10.1007/3-540-48236-9_47
复制
发表时间：
1999
影响因子：
4.1
通讯作者：
K. Deguchi
中科院分区：
文献类型：
--
作者：
H. Hontani;K. Deguchi
我们提出了一种方法，轮廓图形逼近，不承担轮廓的基元的形状。该方法通过曲率流平滑局部细节，逼近给定的轮廓。基于局部细节的大小自适应地确定平滑量。为了检测局部细节并确定局部平滑量，该方法使用尺度空间分析技术。实验结果表明，这种近似方法具有较好的轮廓识别性能，即对一个给定的轮廓只能得到有限个近似。
We propose a method for contour figure approximation which does not assume the shape of primitives for contours. By smoothing out only local details by curvature flow process, a given contour figure is approximated. The amount of smoothing is determined adaptively based on the sizes of the local details. To detect local details and to determine the amount of the local smoothing, the method uses the technique of the scale space analysis. Experimental results show that this approximation method has preferable properties for contour figure recognition, e.g. only finite number of approximations are obtained from a given contour figure.