基于Freeman链码的圆和圆弧检测算法研究

Xia Lan-yi, Dai Shu-guang
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引用次数: 4

摘要

针对圆和圆弧信息的检测问题,提出了一种基于Freeman链码和片段检测算法相结合的检测方法。根据圆弗里曼链码的特性,首先会检测到全圆。然后,对属于整个圆的其余边缘信息进行处理。最后,在预先设定适当的条件下,对边缘信息进行分段拟合和聚类,完成圆弧检测。结果表明,该方法适用于检测缺弧较大、局部畸变较大的圆。与其他算法相比,它能够减少缺失检测,提供可靠的结果,速度快,鲁棒性好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Circle and circular arc detection algorithm research based on Freeman chain code
To detect the information of circle and circular arc, a method based on Freeman chain code combined with segment detection algorithm was proposed. According to the properties of circle Freeman chain code, full circle will be detected at first. Sequently, the rest of edge information belonging to the full circle will be dealt with. Finally, the circular arc detection will be finished by fitting and clustering the edge information by segment under proper condition setting in advance. The result indicated that the proposed method is suitable for detecting the circle with large missing arc and local distortion. Comparing to other algorithms, it is capable of reducing missing detection and providing reliable result with speediness and good robustness.
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