该文提出了一种汉字字形视觉重心的计算方法。首先收集常用汉字图像样本,通过图像预处理,提取出样本汉字的连通区域视觉平衡中心;然后招集被试对样本汉字进行视觉重心标注;再利用统计建模的方法,构建出连通区域视觉平衡中心和汉字整体视觉重心之间的关系模型。与相关方法比较,文中方法考虑了汉字视觉重心依赖于人的主观体验这一因素。该方法能广泛应用于汉字特征提取、汉字结构设计与优化等应用领域。
Abstract
A method of finding the visual center of gravity from a Chinese character is presented in this paper. Firstly we collect some Chinese character samples, and further extract visual balance center of each Chinese character. Then we mark visual center of gravity of the sample characters; ultimately construct a relationship model between the connected regions visual balance center and visual center of gravity of Chinese characters based on statistics. The proposed method has many potential applications, such as feature extraction, designation and optimization of Chinese characters.
关键词
书法汉字 /
连通区域 /
视觉重心 /
回归分析
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Key words
calligraphic characters /
connected region /
visual center of gravity /
regression analysis
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参考文献
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脚注
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基金
国家自然科学基金(60903129);中国计算机学会中文信息技术开放课题基金(CCF2011-01-03)
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