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基于计算机图像处理的书法笔画特征提取 被引量:2

Feature Extraction for Calligraphy Stroke Based on Computer Image Processing
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摘要 提出一种利用计算机图像处理技术进行楷书基本笔画特征提取的方法.从书法笔画图像细化得到笔画骨架出发,提取笔画的全局特征和局部特征,用骨架关键点将笔画分为多个笔段,并结合书法写作特点通过对笔段内部及笔段之间特征进行分析,对书法笔画图像的形体特征选择、提取进行初步的探索. Using computer image processing technology a method of extracting features for basic stroke of regular script was presented.Stroke skeleton was got by means of thinning calligraphy stroke image.Then global features and local fea-tures of stroke were extracted,stroke was divided into multiple segments by the key points extracted from skeleton,considered with the characteristics of calligraphy writing the features within and between segments were analyzed.It is a preliminary exploration to choose and extract shape feature for calligraphy stroke image.
作者 郭晨 胡晓彤
出处 《天津科技大学学报》 CAS 2010年第5期68-72,共5页 Journal of Tianjin University of Science & Technology
关键词 书法 笔画 骨架 特征提取 calligraphy stroke skeleton feature extraction
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