文章詳目資料

Journal of Computers EIMEDLINEScopus

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篇名 An Algorithm to Detect the Crack in the Tunnel Based on the Image Processing
卷期 26:3
作者 Qi,DapengLiu,YunGu,QingyiZheng,Fengxia
頁次 011-019
關鍵字 crack detectionimage processingnoise removalEIMEDLINEScopus
出刊日期 201510

中文摘要

英文摘要

The safety is very important for urban rail transit. So it is the necessary to detect the crack of subway tunnel to keep the secure of the line. In traditional way, relevant staffs are asked to go into the tunnel to detect the crack by naked eye. But this method is too inefficiency to meet the actual demand. In this paper, we propose an algorithm to detect the crack based on the image processing. Compared with other algorithm, this algorithm simplifies the image preprocessing procedure, and use the block binaryzation to replace the traditional method of binaryzation. Then extraneous noisy pixels are removed from the image according to the differences of characteristics between noise and crack. Finally, crack can be detected automatically.

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