基于计算机图像处理的中文古籍书法笔画特征提取  

Feature Extraction of Calligraphy Strokes in Chinese Ancient Books Based on Computer Image Processing

作　　者：黎浩宏[1] LI Haohong(Zhejiang Industry&Trade Vocational College,Wenzhou 325003,China)

机构地区：[1]浙江工贸职业技术学院,浙江温州325003

出　　处：《浙江工贸职业技术学院学报》2022年第4期43-46,共4页Journal of Zhejiang Industry & Trade Vocational College

基　　金：浙江省基础公益研究计划项目“基于增强现实技术的中文古籍书法字图像交互式深度展示系统的研究”(LGF19F020004)。

摘　　要：运用计算机图像处理技术可以较好进行中文古籍书法中的笔画特征提取,它的细化程度高,能够从笔画骨架层面思考解决问题,对于书法笔画中全局特征的提取与局部特征提取非常有效。首先将书法中的笔画骨架划分为多个笔段,再结合书法固有的书写特点来切换笔法,迎合笔法特征进行书写。本文就基于计算机图像处理技术对中文古籍中的书法笔画整体、局部特征进行提取分析,从而得出有价值结论。The use of computer image processing technology can conduct feature extraction of calligraphy stroke in Chinese ancient books better.Its high degree of refinement can consider and solve the problem from the stroke skeleton level,which is very effective for the extraction of global features and local features in calligraphy strokes.Firstly,the skeleton of the strokes in calligraphy is divided into several strokes and combined with the inherent writing characteristics of calligraphy to switch strokes,and then write catering to the characteristics of the strokes.Based on computer image processing technology,this paper extracts and analyzes the overall and local features of calligraphy strokes in Chinese ancient books,thus to draw valuable conclusions.

关 键 词：计算机图像处理技术 中文古籍 书法笔画 特征提取 整体 局部 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]