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Smart Structures and Systems
  Volume 14, Number 4, October 2014 , pages 719-741
DOI: https://doi.org/10.12989/sss.2014.14.4.719
 


Automated assessment of cracks on concrete surfaces using adaptive digital image processing
Yufei Liu, Soojin Cho, Billie F. Spencer, Jr. and Jiansheng Fan

 
Abstract
    Monitoring surface cracks is important to ensure the health of concrete structures. However, traditional visual inspection to monitor the concrete cracks has disadvantages such as subjective inspection nature, associated time and cost, and possible danger to inspectors. To alter the visual inspection, a complete procedure for automated crack assessment based on adaptive digital image processing has been proposed in this study. Crack objects are extracted from the images using the subtraction with median filter and the local binarization using the Niblack\' s method. To adaptively determine the optimal window sizes for the median filter and the Niblack\' s method without distortion of crack object, an optimal filter size index (OFSI) is proposed. From the extracted crack objects using the optimal size of window, the crack objects are decomposed to the crack skeletons and edges, and the crack width is calculated using 4-connected normal line according to the orientation of the local skeleton line. For an image, a crack width nephogram is obtained to have an intuitive view of the crack distribution. The proposed procedure is verified from a test on a concrete reaction wall with various types of cracks. From the crack images with different crack widths and patterns, the widths of cracks in the order of submillimeters are calculated with high accuracy.
 
Key Words
    crack width; digital image processing; adaptive image processing; window size; median filter
 
Address
Yufei Liu and Jiansheng Fan:Key Laboratory of Civil Engineering Safety and Durability of Ministry of Education,
Department of Civil Engineering, Tsinghua University, Beijing 100084, China
Soojin Cho: chool of Urban and Environmental Engineering, Ulsan National Institute of Science and Technology,
Ulsan 689-798, KoreaBillie F. Spencer, Jr.: epartment of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign,
Urbana, IL 61801, USA


 

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