A thinning algorithm for digital figures of characters

Michio Shimizu, Hiroshi Fukuda, G. Nakamura
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引用次数: 12

Abstract

A thinning scheme could be used as a useful method of pre-processing in image processing. Various algorithms have been proposed to produce the skeleton of a digital binary pattern. However, they have undesirable properties that tend to cause shrinking or vanishing of segments, the appearance of a beard, and warping where segments intersect. In this paper, we propose a parallel Hilditch algorithm to acquire a more stable output. In particular, we introduce two kinds of masks that are effective in the thinning of digital figures of characters. Then, we evaluate the performance of our scheme by investigating thinning for 432 kinds of commonly used character fonts. We conclude that the skeletons obtained from our method give better results than those of any other major thinning algorithms.
数字字符的细化算法
在图像处理中,细化方案是一种有用的预处理方法。已经提出了各种算法来产生数字二进制模式的骨架。然而,它们具有不受欢迎的特性,往往会导致部分萎缩或消失,胡须的出现以及部分相交处的翘曲。为了获得更稳定的输出,本文提出了一种并行Hilditch算法。特别地,我们介绍了两种有效地细化数字人物的蒙版。然后,我们通过对432种常用字体的细化研究来评估我们的方案的性能。我们得出的结论是,从我们的方法获得的骨架比任何其他主要的细化算法的结果更好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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