基于多尺度图像和邻域信息的路面裂缝自动检测

Taiki Komori, Kousuke Matsushima, Osamu Takahashi
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引用次数: 1

摘要

路面裂缝是危险的,因为它们会引起诸如轮胎刺破、滑倒和坍塌等事故。因此,有必要对它们进行适当的修复。近年来,人们提出了各种基于路面图像的裂缝检测方法。然而,在许多情况下,存在准确性和处理时间的问题。本文提出了一种基于多尺度图像和邻域信息的裂纹检测方法。实验结果表明,该方法在精度和处理时间上都优于目前最先进的裂纹检测方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Automatic Pavement Crack Detection using Multi-Scale Image & Neighborhoods Information
Pavement cracks are dangerous because they can cause accidents such as tire punctures, slips, and collapses. Therefore, it is necessary to repair them properly. In recent years, various crack detection methods using pavement images have been proposed. However, in many cases, there are problems with accuracy and processing time. In this paper, we propose a new crack detection method using multi-scale image and neighborhood information. Experimental results show that the proposed method is superior to the most advanced crack detection methods in both accuracy and processing time.
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