基于无人机图像的地面裂缝检测

Detection of Ground Crack Based on UAV （Unmanned Aerial Vehicle） Image

随着我国道路建设的完善，道路的管理与养护越来越重要。该文针对道路裂缝，采用无人机的方式进行裂缝图像的获取，用图像处理的方法进行识别，算法采用灰度变换的方式凸出裂缝，采用双边滤波在保持裂缝边缘的条件下进行去噪．通过canny边缘检测进行图像的分割，将裂缝从背景图像中提取出来。对于边缘检测过程中裂缝图像断裂的情况，采用线段最邻近端点相连的方式进行裂缝的连接，并通过线性检测的方式将裂缝最终识别出来。测试结果取得了良好的效果.

With tHe improvement of road construction in our country, the management and maintenance of roads are becoming more and more important. In this paper, we used unmanned aerial vehicle to obtain the image of the road cracks and detected it by image processing methods. The algorithm uses the gray scale transformation to protrude the crack and the bilateral filter to de- noise under the condition of keeping the edge of the crack. I）ividing the image by canny edge detection to extract the crack from the background image. In the case of an image edge detecting process of crack fracture, a connection method based on the nearest neighbor end of the crack line is designed, and identifying the cracks by the linear detection of the way to. The test results have achieved Good results.