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一种基于形态学的路面裂缝图像检测与分析方法

A Method of Image Detection and Analysis for Pavement Crack Based on Morphology

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【作者】 闫茂德伯绍波贺昱曜

【Author】 YAN Mao-de,BO Shao-bo,HE Yu-yao(School of Information Engineering,Chang’an University,Xi’an Shanxi 710064,China)

【机构】 长安大学信息工程学院长安大学信息工程学院 陕西西安710064陕西西安710064

【摘要】 基于数学形态学的原理,提出了一种路面裂缝图像检测与分析的新方法。该方法通过4种结构元素的中值滤波算法增强路面灰度图像,并利用形态学梯度算子、闭合算子进行边缘检测和裂缝空隙弥合,能够有效地检测出裂缝边缘,并保持边缘的平滑性。在此基础上,利用改进的腐蚀算子细化裂缝并获取其骨架,通过计数的方法得到裂缝的长度和宽度。实验结果表明,该方法有抗噪性能好、边缘提取能力强、路面裂缝特性分析精确和计算量较小等优点。

【Abstract】 In order to detect the edge efficiently and get the characteristics of pavement cracks exactly,a novel image processing method based on the theory of the morphology is presented for the pavement crack detection and analysis.The method employs median-filter algorithm with the four structural elements to enhance the gray-scale pavement images,and combines morphology-gradient operator with close operator to extract the crack edges and fill the gaps of the cracks.After the above processing,the presented method utilizes the improved erosion operator to thin the cracks and obtain the skeletons,and then gets the length and width of cracks by counting.Experimental results indicate that the proposed method has good performance of noise reduction,strong ability of extracting edges,exact analysis of pavement crack and fewer calculations.

【基金】 特殊地区公路工程教育部重点实验室资助项目(KLP200501)
  • 【文献出处】 工程图学学报 ,Journal of Engineering Graphics , 编辑部邮箱 ,2008年02期
  • 【分类号】TP391.41
  • 【被引频次】78
  • 【下载频次】792
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