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http://dx.doi.org/10.15683/kosdi.2018.12.31.458

Development of Automatic Crack Detection using the Gabor Filter for Concrete Structures of Railway Tracks  

Na, Yong-Hyoun (S.H. Tech & Policy Institute)
Park, Mi-Yun (S.H. Tech & Policy Institute)
Park, Ji-Soo (S.H. Tech & Policy Institute)
Park, Sung-Baek (Dept. of Railroad Research Institute, Korea Railroad Corporation)
Kwon, Se-Gon (Dept. of Railroad Research Institute, Korea Railroad Corporation)
Publication Information
Journal of the Society of Disaster Information / v.14, no.4, 2018 , pp. 458-465 More about this Journal
Abstract
Purpose: Concrete track that affects on railway safety can detect cracks using image processing technique. However, since a condition of concrete track and surface noisy are obstructed to detect cracks, there is a need for a way to remove them effectively. Method: In this study, we proposed an image processing to detect cracks effectively for Korean railway and verified its performance through experiment. We developed image acquisition system for capture a railway concrete track and acquired railway concrete track images, randomly selected 2000 images and detected cracks in the image process using proposed Gabor Filter Bank methods. Results: As a result, 94% of detection rate are matched to the actual cracks in same quality and format railway concrete track image. Conclution: The crack detection method using Garbor Filter Bank was confirmed to be effective for crack image including noise in the Korean railway concrete track. This system is expected to become an automated maintenance system in the existing human-centered railway industry.
Keywords
Crack detection; Concrete railway track; Line detection; Track Maintenance; Gabor Filter Bank; Minimum enclosing rectangle;
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