A Method for Crack Detection on a Concrete Structure

Authors:
Yusuke Fujita;Yoshihiro Mitani;Yoshihiko Hamamoto
Affiliations:
Yamaguchi University, Japan;Ube National College of Technology, Tokiwadai, Ube, Japan;Yamaguchi University, Ube, Japan
Venue:
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 03
Year:
2006

Citing 0
Cited 2

A Robust Method for Automatically Detecting Cracks on Noisy Concrete Surfaces

IEA/AIE '09 Proceedings of the 22nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems: Next-Generation Applied Intelligence
Fast crack detection method for large-size concrete surface images using percolation-based image processing

Machine Vision and Applications - Integrated Imaging and Vision Techniques for Industrial Inspection

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Abstract

Recently, interest in automatic crack detection on concrete structure images for non-destructive inspection has been increasing. In general, there are various noises such as irregularly illuminated conditions, shading, blemishes and divots in the concrete images. These lead to difficulties for automatic crack detection. This paper presents two pre-processings in order to remove such noises for crack detection. First, slight variations like irregularly illuminated conditions and shading are removed from concrete images by the subtraction pre-processing with the smoothed image. Secondly, a line filter based on the Hessian matrix is used to emphasize line structures associated with cracks. Finally, thresholding processing is used to separate cracks from background. The performance of the proposed method is evaluated by ROC analysis with 50 real images. The experimental results show that the proposed method is effective for detecting cracks on noisy concrete images.