Onomatopoeia characters extraction from comic images using constrained Delaunay triangulation

Onomatopoeia characters extraction from comic images using constrained Delaunay triangulation
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DOI:
10.1117/12.2039283
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发表时间:
2014-02
期刊:
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影响因子:
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通讯作者:
Xiangping Liu;K. Shoji;H. Mori;Fubito Toyama
Xiangping Liu;K. Shoji;H. Mori;Fubito Toyama
中科院分区:
其他
文献类型:
--
作者:
Xiangping Liu;K. Shoji;H. Mori;Fubito Toyama

文献摘要

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针对漫画图像中拟声字笔画宽度基本恒定的特点,提出了一种基于汉字笔画宽度特征的拟声字提取方法。使用约束Delaunay三角剖分对图像进行分割。基于约束Delaunay三角剖分生成的三角形进行连通分量分组。基于约束Delaunay三角剖分生成的三角形的高程计算连通分量的笔划宽度。实验结果证明了该方法的有效性。
A method for extracting onomatopoeia characters from comic images was developed based on stroke width feature of characters, since they nearly have a constant stroke width in a number of cases. An image was segmented with a constrained Delaunay triangulation. Connected component grouping was performed based on the triangles generated by the constrained Delaunay triangulation. Stroke width calculation of the connected components was conducted based on the altitude of the triangles generated with the constrained Delaunay triangulation. The experimental results proved the effectiveness of the proposed method.