基于图像处理的市政管道清洗效果评价方法

Qingtong Yang, Yuanxun Fan
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摘要

针对国内市场管道清扫机器人存在的不足。设计了一种新型管道清扫机器人。设计思路是将高压水射流清洗设备与机器人主体相结合,配备水下摄像头和图像处理系统。利用python语言设计了一种基于图像处理的清洗效果评价方法,并将其应用到机器人中。对采集到的图像进行除雾、图像增强、图像分割、图像二值化等一系列图像预处理,得到清晰区分尺度和管壁的黑白图像。根据黑像素和白像素的比例来评价清洗效果。实验结果表明,该方法能有效地对原始雾化图像进行处理,区分图像中的水垢和管壁。该方法为评价管道清扫机器人的作业效果提供了依据。
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An evaluation method of municipal pipeline cleaning effect based on image processing
In view of the shortcomings of pipeline cleaning robot in the domestic market. A new pipeline cleaning robot is designed. The design idea is to combine high-pressure water jet cleaning equipment with the main body of the robot, equipped with underwater camera and image processing system. A cleaning effect evaluation method based on image processing, using python language is designed and applied to the robot. After a series of image pre-processing, including defogging, image enhancement, image segmentation, image binarization, etc. of the collected images, black-and-white images are obtained which clearly distinguish the scale and the pipe wall. The cleaning effect is evaluated according to the proportion of black pixels and white pixels. The test results show that this method can effectively process the original fogged image to distinguish the scale and pipe wall in the image. This method provides a basis for the evaluation of the operation effect of the pipe cleaning robot.
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