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Crack detection by a climbing robot using image analysis

机译:使用图像分析攀爬机器人的裂缝检测

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Cracking on surfaces as walls or roofs of a building results in a rapid deterioration of such structures. Access to these places is sometimes very difficult for people. One approach to solve such inconvenient is the use of climbing robots provided with sensing devices. In this paper, we propose a computer vision system using image analysis for inspection. A stereo camera is mounted on the thorax of a hexapod robot, named Hex-piderix. The images are processed using a method described in this document. It is a method invariant to illumination to detect cracks in the surface. Image is improved through the estimation and removal of lighting pattern, and then a thresholding is applied using Otsu method. Finally morphological operations are applied to extract crack information.
机译:在建筑物的墙壁或屋顶上裂开表面,导致这种结构的快速劣化。访问这些地方有时对人们非常困难。解决此类不方便的一种方法是使用具有传感设备的攀爬机器人。在本文中,我们提出了一种使用图像分析进行检查的计算机视觉系统。立体声相机安装在六角形机器人的胸部,名为Hex-Piderix。使用本文档中描述的方法处理图像。它是一种不变的方法,以检测表面裂缝。通过估计和去除照明图案来改善图像,然后使用OTSU方法施加阈值处理。最后应用形态操作来提取裂缝信息。

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