Calligraphy Characters Dynamic Reproduction Algorithm Based on Principal Curve
YANG Chenxu1,2, ZHANG Hongyun1,2, MIAO Duoqian1,2
1.Department of Computer Science and Technology, Tongji University, Shanghai 201804 2.Key Laboratory of Embedded Systems and Service Computing, Ministry of Education, Tongji University, Shanghai 201804
Abstract 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.
Fund:Supported by National Key Research and Development Program of China(No.213), National Natural Science Foundation of China(No.61573255), Outstanding Young Talent Foundation of Anhui Province(No.gxyq2017056)
Corresponding Authors:
ZHANG Hongyun, Ph.D., associate professor. Her research interests include principal curves, granular computing and fuzzy sets.
About author:: YANG Chenxu, master student. Her research interests include image retrieval, principal curves and granular computing;MIAO Duoqian, Ph.D., professor. His research interests include artificial intelligence, machine learning, big data analysis and granular computing.
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2019, Vol. 32 
