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

Hoang Nam Nguyen*, Tai-Yan Kam, Pi-Ying Cheng

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Scopus citations

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.

Original languageEnglish
Title of host publicationISPACS 2012 - IEEE International Symposium on Intelligent Signal Processing and Communications Systems
Pages766-771
Number of pages6
DOIs
StatePublished - 1 Dec 2012
Event20th IEEE International Symposium on Intelligent Signal Processing and Communications Systems, ISPACS 2012 - Tamsui, New Taipei City, Taiwan
Duration: 4 Nov 20127 Nov 2012

Publication series

NameISPACS 2012 - IEEE International Symposium on Intelligent Signal Processing and Communications Systems

Conference

Conference20th IEEE International Symposium on Intelligent Signal Processing and Communications Systems, ISPACS 2012
CountryTaiwan
CityTamsui, New Taipei City
Period4/11/127/11/12

Keywords

  • Savitzky-Golay filter
  • crack detection
  • thinning algorithm
  • wavelet transform

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