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DEVELOPMENT OF AUTOMATIC CRACK DETECTION USING THE GABOR FILTER FOR CONCRETE STRUCTURES OF RAILWAY TRACKS


MiYun Park, JiSoo Park, SungBaek Park, SeGon Kwon, Hyundong Lee, YongHyoun Na
Abstract

Concrete track that effects 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. 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 Gaber Filter Bank methods. As a result, 94% of detection rate are matched to the actual cracks in same quality and format railway concrete track image.

Volume 11 | 05-Special Issue

Pages: 192-197