一种新的基于轮廓相干的稀疏算法

Liu Xiao-lin, Xie Dong
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引用次数: 0

摘要

提出了一种新的基于轮廓相干的图像细化算法。算法对连通模板进行了改进,避免了异常断点的出现。该算法只需要进行一次预扫描,所有需要处理的像素点都由轮廓相干准则确定。因此,该算法缩短了搜索时间和判断时间,从而大大提高了处理速度。与传统的稀疏算法相比,该算法具有更好的拓扑保持性。该算法可以保证提取的所有骨架都是单像素宽的,这对纸质地图的自动识别具有重要意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A new contour coherence based thinning algorithm
A new contour-coherence based thinning algorithm is proposed in this paper. In the algorithm, the connectivity template is improved to avoid abnormal broken points. This algorithm only requires one time pre-scanning and all the pixels to be processed are determined by the contour-coherence criterion. The searching time and judgement time, therefore, is shortened by the algorithm so that the processing speed increases considerably. The topological property preservation of this algorithm is better than that of the classical thinning algorithm. This algorithm can guarantee that all the extracted skeletons are single-pixel wide which is very important for the automatic recognition of paper-map.<>
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