NDLI: A novel automatic concrete surface crack identification using isotropic undecimated wavelet transform

Content Provider	IEEE Xplore Digital Library
Author	Hoang-Nam Nguyen Tai-Yan Kam Pi-Ying Cheng
Copyright Year	2012
Description	Author affiliation: Department of Mechanical Engineering, National Chiao Tung University, Hsinchu, Taiwan (Hoang-Nam Nguyen; Tai-Yan Kam; Pi-Ying Cheng)
Abstract	Traditionally, concrete surface cracks are manually measured and recorded by experienced inspectors who observe cracks with their naked eye. This task is very costly, time-consuming and dangerous. Some automatic crack detection techniques utilizing image processing have been proposed. However, it is very difficult to automatically identify cracks sufficiently fast and accurate. This paper presents a novel automatic algorithm for effectively identifying cracks in concrete structures, which can be applied to high resolution photographs. Firstly, as cracks can be considered as elongated dark objects in concrete surface images, all dark objects are roughly identified using Isotropic Undecimated Wavelet Transform (IUWT) and morphological image processing. Secondly, all previous detected dark objects are classified into crack and non-crack objects by analyzing their cross section pixel intensity profiles, which are computed perpendicularly across their centre-lines in the original input image, using a novel method based on Savitzky-Golay filter. Therefore, both local and global changes in crack width can be readily quantified. Experiments show that our method can automatically detect true cracks in concrete surface images using a unique set of parameters.
Starting Page	766
Ending Page	771
File Size	2236965
Page Count	6
File Format	PDF
ISBN	9781467350839
e-ISBN	9781467350822
e-ISBN	9781467350815
DOI	10.1109/ISPACS.2012.6473594
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-11-04
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wavelet transforms Image edge detection Concrete Surface cracks Surface treatment Image segmentation thinning algorithm crack detection wavelet transform Savitzky-Golay filter
Content Type	Text
Resource Type	Article

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