邹勤, 李清泉, 毛庆洲, 陈龙. 利用目标点最小生成树的路面裂缝检测[J]. 武汉大学学报 ( 信息科学版), 2011, 36(1): 71-75.
引用本文: 邹勤, 李清泉, 毛庆洲, 陈龙. 利用目标点最小生成树的路面裂缝检测[J]. 武汉大学学报 ( 信息科学版), 2011, 36(1): 71-75.
ZOU Qin, LI Qingquan. Target-points MST for Pavement Crack Detection[J]. Geomatics and Information Science of Wuhan University, 2011, 36(1): 71-75.
Citation: ZOU Qin, LI Qingquan. Target-points MST for Pavement Crack Detection[J]. Geomatics and Information Science of Wuhan University, 2011, 36(1): 71-75.

利用目标点最小生成树的路面裂缝检测

Target-points MST for Pavement Crack Detection

  • 摘要: 分析路面裂缝的成像特点,提出了一种基于目标点最小生成树的路面裂缝检测方法。最小生成树具有描述空间线性聚集特征的优点,有利于实现对裂缝的全局分析和提取。实验结果表明,对不连续裂缝的处理,本文方法优于传统方法。

     

    Abstract: From analysis of the imaging characteristics of pavement cracks,a crack detection method based on target-points minimum spanning tree(TMST) is proposed.The minimum spanning tree has the advantage of description of spatial clustering linear feature,which facilitates the global analysis of cracks.The results from empirical experiments indicate that,to detect discrete cracks,the proposed method outperforms the traditional methods.

     

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