点阵汉字向量化算法
Vectorization Algorithms for the Dot Matrix Chinese Character
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摘要: 本文提出了点阵汉字向量化的方法,解决了在笔绘图仪上输出汉字的问题.此方法采取 了点分类和有选择的搜索象点邻点,根据笔划书写特征建立了选择规则.本文给出了通道搜索 算法和通道回溯算法,开发了两个实用的软件模块.最后举出了在SR-6602六笔绘图仪上画 出的字例.Abstract: The vectorization method for the dot matrix Chinese character is proposed in this paper The problem of Chinese character output by pen-plotters has been solved. Dot sorting and selective search of the adjacent dots are adopted. The selective search rule has been established according to the features of the stroke writing. Two search algorithms of vectorization, the Path Search Algorithm and the Path Backtracking Algorithm, are given, and two useful modules are developed. Finally. the examples Plotted by the SR-6602 Plotter are given.
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