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

机译:一种使用数字图像处理技术的新型道路裂纹检测与识别方法

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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:道路裂纹检测是公路维护和数字图像处理的基础已广泛用于裂纹检测和识别。 本文提出了一种新颖的,有效,有效的图像处理方法,用于从路面图像中提取道路裂缝。 第一阶段是图像预处理,由二进制分割,形态操作和删除算法组成,该算法删除隔离点和区域。 通常,在上面的那些操作之后,裂缝中仍然存在许多间隙,第二阶段提出了一种新颖的算法来连接那些断裂裂缝。 由于不同类型的差异,它需要判断裂缝的类型。 实验表明可以正确检测表面裂纹,并证明令人满意和有效的结果。

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