基于主曲线的书法字动态重现算法

如何高效逼真地动态重现书法作品的创作过程日益成为亟需解决的问题,因此文中提出基于主曲线的书法字动态重现方法,解决当前细化算法在提取骨架时存在的无效分支较多、不能保证笔画的连续性和准确性的问题.结合书法字自身结构对主曲线算法进行改进和优化.对书法图像进行骨架提取、骨架追踪、笔顺获取等处理,结合骨架信息和二值图像实现笔画宽度复原,针对笔画宽度存在的“肿瘤”问题,提出“角点剔除法”进行修正,结合HTML5的Canvas绘图技术进行书法字动态书写过程.在模拟数据集上的实验表明,文中算法的书法动态重现取得较好效果.

Calligraphy Characters Dynamic Reproduction Algorithm Based on Principal Curve

Reproducing dynamic writing process of calligraphy works in an effective way is an urgent problem to be solved. Therefore, a calligraphy characters dynamic reproduction algorithm based on principal curve is proposed to guarantee the continuity and accuracy of strokes and solve the problem of many invalid branches caused by the thinning algorithm during skeleton extraction process. Based on the structure of calligraphy characters, the principal curve algorithm is improved and optimized. Firstly, skeleton extraction, skeleton tracking, stroke order acquisition, etc., are conducted. Then, the skeleton information and binary image are combined to realize stroke width restoration. Aiming at the tumor problem in the stroke width, the corner elimination method is proposed. Finally, the Canvas drawing technology of HTML5 is introduced into the dynamic writing process of calligraphy characters. Experiments on simulated datasets show that the proposed algorithm produces good results.