数字曲线的线性逼近和分段识别

提出了一种综合性的数字曲线识别方法和分析，识别准则，对曲线进行行快定逼近以拟制噪声误差并减少数据点，找出尖点并分段。在此基础上检测基区域内的拟合面积差、当量线性距离差、曲率变化及角距等特征量，进行识别分析，正确实现分段重构。算法简单、抗噪性能好。

Identification and segmentation of digital curves

A new fast algorithm for identification and segmentation of digital curves is presented. It uses a linear approximation technique based on area deviation and other criteria based on the intrinsic geometry features of curves (such as curvature, angle span, etc.) for identification and segmentation. The sharp corner points were checked first and sub curves were divided, then the straight lines and arcs were segmented depending on the curve's geometry features. The running results show that performance of the new algorithm is good.