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access icon openaccess Detect concrete cracks based on OTSU algorithm with differential image

This is an open access article published by the IET under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/)
Received 17/10/2018, Accepted 09/01/2019, Published 25/03/2019

Aiming at the detection of concrete surface cracks, based on digital image processing technology, OTSU algorithm is processed based on differential image. First, the Gaussian filter is acted on the original image to obtain the smoothed image. Then the smoothed image is subtracted by the original image, the differential image is obtained. According to the OTSU algorithm, the optimal threshold on the differential image was calculated. As the characteristic cracks are a few pixels and with lower grey values, the pixels whose grey values are less than the mean value of the whole image to get the best threshold value were only calculated. Finally, remove the background noise based on the morphologic noise reduction to obtain the binary image of the crack. The experimental results show that the cracks can be discerned in complex backgrounds.

Inspec keywords: structural engineering computing; surface cracks; smoothing methods; image segmentation; image denoising; concrete; crack detection

Other keywords: digital image processing technology; morphologic noise reduction; OTSU algorithm; image smoothening; Gaussian filter; concrete surface crack detection

Subjects: Construction industry; Mechanical engineering applications of IT; Computer vision and image processing techniques; Optical, image and video signal processing; Fracture mechanics and hardness (mechanical engineering); Testing; Civil and mechanical engineering computing; Materials testing; Engineering materials

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