Automatic crack detection and segmetnation using a hybrid algorithm for road distress analysis
Document Type
Conference Proceeding
Publication Date
12-1-2013
Abstract
In this paper, we investigate advanced image processing technologies to detect cracks for road distress analysis. An algorithm which can detect and segment cracks effectively is proposed. The proposed algorithm is a hybrid crack detection and segmentation algorithm. In the proposed detection and segmentation algorithm, we first use histogram based thresholding method to get the rough locations of the cracks and then mathematics morphology technologies and B-spline based snake model based technology are used to refine the locations of the cracks. We conducted experiments on 10 images with different types of cracks and experimental results show that the proposed technologies can be used for find the cracks effectively. © 2013 IEEE.
Publication Title
Proceedings - 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013
Recommended Citation
Tang, J.,
&
Gu, Y.
(2013).
Automatic crack detection and segmetnation using a hybrid algorithm for road distress analysis.
Proceedings - 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013, 3026-3030.
http://doi.org/10.1109/SMC.2013.516
Retrieved from: https://digitalcommons.mtu.edu/michigantech-p/10918