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A novel road crack detection and identification method using digital image processing techniques

机译:一种采用数字图像处理技术的新型道路裂缝检测与识别方法

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摘要

Road crack detection is the base of highway maintenance and digital image processing has been widely used in crack detection and identification. In this paper, a novel, effective, efficient image processing method is proposed for the extraction of road cracks from pavement images. The first stage is image preprocessing which consists of binary segmentation, morphological operations and remove algorithm which remove the isolate dots and area. Usually, after those operations above, many gaps still exists in the crack, the second stage proposed a novel algorithm to connect those break cracks. It needs to judge the type of the crack because of the difference in different types. The experimental shows that the surface crack could be detected correctly and results proved satisfying and efficient.
机译:道路裂缝检测是高速公路维护的基础,数字图像处理已广泛用于裂缝检测和识别。本文提出了一种新颖,有效,高效的图像处理方法,用于从路面图像中提取道路裂缝。第一阶段是图像预处理,包括二进制分割,形态学运算和删除算法,该算法去除孤立点和区域。通常,经过上述操作后,裂纹中仍然存在许多缝隙,第二阶段提出了一种新颖的算法来连接这些断裂裂纹。由于不同类型的差异,需要判断裂纹的类型。实验表明,可以正确检测出表面裂纹,结果令人满意且有效。

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