顾及分支三角网形状因子的面状目标主骨架线提取

Main skeleton extraction of area feature based on branch triangulation shape factor

针对传统主骨架线提取算法考虑因素单一、计算复杂、运算耗时等不足,综合三角网中目标的走向、分布及位置等面状目标因素定义了分支三角形形状因子,提出顾及多因素的分支三角形形状因子的主骨架线提取算法。文中阐述了该算法的基本思想、关键量论,采用编程语言进行算法的实现,并结合实验结果分析算法的特点及优势。

It discusses the deficiency of traditional skeleton extraction algorithm, such as single fatctor analysis, complex calculation, and time-consuming. Then a main skeleton extraction algorithm of area feature based on branch triangulation shape factor is put forward, which involves the length, angle, position and distribution of edges, in order to get a weight for each edge of the skeleton network. Some of operator algorithms are presented and corresponding experiment results are illustrated.