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2D image based road pavement crack detection by calculating minimal paths and dynamic programming

机译:通过计算最小路径和动态规划,基于2D图像的道路路面裂缝检测

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Road distress needs to be detected early to optimize road maintenance cost; automatic survey of road distress is a big challenge, particularity for the detection of tiny cracks due to important variation of pavement textures. This paper presents a new method for crack detection by finding the minimal path passing on each pixel of image from every path with a length d; we propose also a dynamic programming implementation to make it applicable in real condition. Methods are tested on synthesis images set and a large set of real images. Results show that cracks as small as 2mm could be detected.
机译:需要尽早发现道路困境,以优化道路维护成本;道路遇险的自动调查是一个很大的挑战,特别是对于由于路面纹理的重要变化而导致的微小裂缝的检测。本文通过从长度为d的每条路径中找到通过图像的每个像素的最小路径,提出了一种新的裂纹检测方法。我们还提出了一种动态编程实施方案,以使其可在实际条件下应用。方法在合成图像集和大量真实图像上进行了测试。结果表明,可以检测到小至2mm的裂纹。

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