基于数学形态学算法的颜体字合成

YAN Style Character Synthesis Based on Mathematical Morphology Algorithm

为将《颜勤礼碑》现有碑文中的部件合成新颜体字,需要进行汉字部件处理。现有的主流图像处理软件无法在不改变字体部件大小、边缘形态的情况下对其横向、纵向加粗或者细化部件。为此,提出一种汉字部件膨胀、细化以及优化的旋转算法。该算法可解决采用普通算法对部件多次旋转后严重失真的问题。基于该算法编写的《颜勤礼碑》汉字软件可以通过人工微调的方式横向、纵向加粗或者细化部件笔画以及旋转部件,以使合成的新字整体上达到协调、美观的效果。

In order to synthesize new characters with components on the existing inscription on Yah Qin-Li stele, it is necessary to handle Chinese word components. Current mainstream image processing software can not bold and refine the components horizontally and vertically. This paper puts forward a rotary algorithm to achieve the expansion, refinement and optimization of the components. This rotary algorithm solves the serious distortion of component images after rotating components many times, which can not be achieved with general algorithms. YAN Qin-Li stele character software based on this algorithm can bold and thin the strokes horizontally and vertically, and rotate the components through artificial fine-adjustment, so as to synthesize new characters of the calligraphy style of Yan for the effect of being harmonious, attractive and beautiful.