Open AccessWriting process restoration of Chinese calligraphy images based on skeleton extraction
Author(s) -
Wenting Zhang,
Wei An,
Dong Huang
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/569/3/032060
Subject(s) - calligraphy , computer science , skeleton (computer programming) , distortion (music) , process (computing) , character (mathematics) , artificial intelligence , chinese characters , computer vision , engineering drawing , computer graphics (images) , mathematics , engineering , art , painting , geometry , amplifier , computer network , bandwidth (computing) , visual arts , programming language , operating system
In this paper, a writing process restoration method for static Chinese calligraphy works is proposed. Through this method, the initial skeleton of the Chinese character calligraphy image is extracted first. Then, the distortion elimination and sorting processes are performed for the initial skeleton, and the accurate skeleton of the Chinese character image is obtained. Finally, the appropriate ink dots are selected to move and render along the skeleton, thus obtaining the dynamic writing effects. Regarding the aspect of skeleton distortion elimination, the initial skeletons are first classified into three different types; then, the processing algorithms are designed respectively according to their morphological features, thus realizing highly efficient recognition and elimination for the skeleton distortion. This method can realize rapid dynamic restoration for calligraphy fonts, such as regular script.