Determination of Geometric Parameters of Cracks in Concrete by Image Processing
Author(s): |
Yuriy Vashpanov
Jung-Young Son Gwanghee Heo Tatyana Podousova Yong Suk Kim |
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Medium: | journal article |
Language(s): | English |
Published in: | Advances in Civil Engineering, 2019, v. 2019 |
Page(s): | 1-14 |
DOI: | 10.1155/2019/2398124 |
Abstract: |
The 8-bit RGB image of a cracked concrete surface, obtained with a high-resolution camera based on a close-distance photographing and using an optical microscope, is used to estimate the geometrical parameters of the crack. The parameters such as the crack’s width, depth, and morphology can be determined by the pixel intensity distribution of the image. For the estimation, the image is transformed into 16-bit gray scale to enhance the geometrical parameters of the crack and then a mathematical relationship relating the intensity distribution with the depth and width is derived based on the enhanced image. This relationship enables to estimate the width and depth with ±10% and ±15% accuracy, respectively, for the crack samples used for the experiments. It is expected that the accuracy can be further improved if the 8-bit RGB image is synthesized by the images of the cracks obtained with different illumination directions. |
Copyright: | © Yuriy Vashpanov et al. |
License: | This creative work has been published under the Creative Commons Attribution 4.0 International (CC-BY 4.0) license which allows copying, and redistribution as well as adaptation of the original work provided appropriate credit is given to the original author and the conditions of the license are met. |
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10377289 - Published on:
01/11/2019 - Last updated on:
02/06/2021