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Crack detection by a climbing robot using image analysis

机译:爬山机器人使用图像分析检测裂纹

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摘要

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:作为建筑物的墙壁或屋顶的表面上的裂缝导致这种结构的快速劣化。人们有时很难进入这些地方。解决这种不便的一种方法是使用配备有感应装置的攀爬机器人。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。立体摄像机安装在名为Hex-piderix的六脚机器人的胸部。使用本文档中描述的方法处理图像。这是一种不变的方法来检测表面裂缝。通过估计和消除照明图案来改善图像,然后使用Otsu方法应用阈值。最后,进行形态学运算以提取裂纹信息。

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