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Development of Image Processing for Concrete Surface Cracks by Employing Enhanced Binarization and Shape Analysis Technique
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 Title & Authors
Development of Image Processing for Concrete Surface Cracks by Employing Enhanced Binarization and Shape Analysis Technique
Lee Bang-Yeon; Kim Yun-Yong; Kim Jin-Keun;
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This study proposes an algorithm for detection and analysis of cracks in digital image of concrete surface to automate the measurement process of crack characteristics such as width, length, and orientation based on image processing technique. The special features of algorithm are as follows: (1) application of morphology technique for shading correction, (2) improvement of detection performance based on enhanced binarization and shape analysis, (3) suggestion of calculation algorithms for width, length, and orientation. A MATLAB code was developed for the proposed algorithm, and then test was performed on crack images taken with digital camera to examine validity of the algorithm. Within the limited test in the present study, the proposed algorithm was revealed as accurately detecting and analyzing the cracks when compared to results obtained by a human and classical method.
concrete crack;crack detection;crack analysis;crack width;image processing;
 Cited by
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