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Pavement Crack Detection Algorithm Based on Image Processing Analysis

机译:基于图像处理分析的路面裂缝检测算法

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Pavement crack detection plays a vital part in highway maintenance and management. It is difficult to detect cracks effectively and accurately through ideal detecting algorithm. This paper improves the pavement crack image processing algorithm from the angle of grey level transformation, median filter and image intensification according to the characteristics of the pavement crack image. Based on defect image segmentation and image edge detection, results show that the proposed detection method can effectively remove the isolated noise point, smooth the edge and improve the segmentation accuracy.
机译:路面裂缝检测在高速公路维护和管理中起着至关重要的作用。通过理想的检测算法很难有效,准确地检测出裂纹。根据路面裂缝图像的特点,从灰度变换,中值滤波和图像增强等角度对路面裂缝图像处理算法进行了改进。基于缺陷图像分割和图像边缘检测,结果表明,该检测方法可以有效去除孤立的噪声点,平滑边缘,提高分割精度。

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