矢量字以其可以方便地进行各种变换和高质量的显示及输出效果得到广泛应用,汉字的矢量化是中文信息处理的重要内容之一。该文通过非细化的矢量化算法中的轮廓线的方法,针对启功书法字中的3 755个一级汉字完成了矢量化,并建立了包括每个字的笔画的矢量表示、笔画顺序等信息的启功书法的矢量字库,为启体书法的逐笔临摹学习奠定了基础。文章详细论述了对书法字轮廓的提取过程,笔画分割过程和对提取结果的优化处理方法。
Abstract
Vector Chinese characters are popular for the high-quality of display and output under the transformations like zoom, rotation. Therefore, the vectorization of Chinese characters is a fundamental issue for Chinese Information Processing. We propose a vectorization algorithm to tracing the outline of 3 755 frequently used characters in the style of Qi Gong calligraphy. A vector character includes the representation of these strokes and their sequence, which may serve as a kind of support to the studying of Qi Gong calligraphy. The paper presents the details in contour extraction, stroke extraction and the final optimization.
Key wordsvectorization; Chinese calligraphy; Qi font; stroke
关键词
矢量化 /
书法 /
启体 /
笔画
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Key words
vectorization /
Chinese calligraphy /
Qi font /
stroke
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参考文献
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脚注
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基金
教育部回国基金资助(2008101)
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