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Pavement information system: Detection, classification and evaluation

机译:路面信息系统:检测,分类和评估

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This paper presents a method for pavement crack detection, classification and evaluation using the Radon transform. The detection part of the algorithm is built upon the wavelet transform and the evaluation part is considered in the Radon transform domain. Since cracks have specific linear features in the space domain, the Radon transform can effectively be used on a binary image to classify and evaluate the cracks based on their possible patterns. The proposed algorithm assumes the fact that crack pixels are darker than their surroundings. The simulation results show that the proposed method is very effective and can provide information about the type and severity of the pavement cracks.
机译:本文介绍了一种使用氡变换的路面裂纹检测,分类和评价方法。算法的检测部分基于小波变换而构建,并且在氡变换域中考虑评估部分。由于裂缝在空间域中具有特定的线性特征,因此可以在二值图像上有效地使用氡变换以基于其可能的模式对裂缝进行分类和评估裂缝。所提出的算法假设裂纹像素比周围环境更暗的事实。仿真结果表明,该方法非常有效,可以提供有关路面裂缝的类型和严重程度的信息。

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