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http://dx.doi.org/10.11112/jksmi.2012.16.1.064

Development of Automatic Crack Detection System for Concrete Structure Using Image Processing Method  

Lee, Ho Beom ((주)쓰리텍)
Kim, Jong Woo ((주)유디코)
Jang, Il Young (금오공과대학교 토목환경공학부)
Publication Information
Journal of the Korea institute for structural maintenance and inspection / v.16, no.1, 2012 , pp. 64-77 More about this Journal
Abstract
In this study, the crack detecting system with digital image processing techniques based on the mathematical morphology method was developed to detect cracks in concrete structures. In the developed system, the image combining technique of reconstructing multiple images as an entire single image considering efficient management of analysis results was applied as an additional module. The developed system was verified through a field test with the cracked concrete culvert and the crack width of 0.2 mm was able to be detected in the 40m span. In the image analysis, the difference between calculated crack width and actual crack width were less than 0.08mm. For image combination in the stitching test of pattern images, the stitched image was identical with the original picture of entire subject in the visual perception level.
Keywords
Digital image processing; Crack detecting system; Concrete structures; Morphology method; Image stitching;
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