AUTOMATIC RECOGNITION OF CRACKS IN TUNNEL LINING BASED ON CHARACTERISTICS OF LOCAL GRIDS IN IMAGES
WANG Pingrang1,2,HUANG Hongwei1,2,3,XUE Yadong1,2
(1. Department of Geotechnical Engineering,Tongji University,Shanghai 200092,China;
2. Key Laboratory of Geotechnical and Underground Engineering of Ministry of Education,Tongji University,Shanghai 200092,China;3. Department of Civil Engineering,Zhejiang University City College,Hangzhou,Zhejiang 310015,China)
Abstract:Crack is one of the most common and serious defects in tunnel lining. In light of the existing problems of conventional image recognition methods,an automatic crack recognition method in tunnel lining based on characteristics of local grids in images is presented. A lining image is firstly divided into local grids of 8 Pixel×8 Pixel. Cross-shaped templates are designed based on the characteristics of luminance difference and contrast difference between different directions in local grids. The pixel with minimum gray value in each grid can be recognized as one potential crack seed by template calculation. Discrete crack seeds are finally linked together to form an intact and continuous crack cluster using seed linking algorithm. During the linking process,the direction,length and width of cracks are measured automatically. The optimal parameters and threshold of the proposed algorithm are estimated using receiver operating characteristics(ROC) curves. The reliability and accuracy are validated by means of qualitative and quantitative analyses. Application cases show that the proposed method can achieve good effects of crack recognition,especially for the lining images containing minor cracks and leakage;and the reliability and recognition rate are higher than those of other conventional image recognition methods.
王平让1,2,黄宏伟1,2,3,薛亚东1,2. 基于图像局部网格特征的隧道衬砌裂缝自动识别[J]. 岩石力学与工程学报, 2012, 31(5): 991-999.
WANG Pingrang1,2,HUANG Hongwei1,2,3,XUE Yadong1,2. AUTOMATIC RECOGNITION OF CRACKS IN TUNNEL LINING BASED ON CHARACTERISTICS OF LOCAL GRIDS IN IMAGES. , 2012, 31(5): 991-999.
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