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Development of Image Processing for Concrete Surface Cracks by Employing Enhanced Binarization and Shape Analysis Technique

개선된 이진화와 형상분석 기법을 응용한 콘크리트 표면 균열의 화상처리 알고리즘 개발

  • Lee Bang-Yeon (Dept. of Civil and Environmental Engineering, Korea Advanced Institute of Science and Technology) ;
  • Kim Yun-Yong (Dept. of Civil and Environmental Engineering, Korea Advanced Institute of Science and Technology) ;
  • Kim Jin-Keun (Dept. of Civil and Environmental Engineering, Korea Advanced Institute of Science and Technology)
  • 이방연 (한국과학기술원 건설 및 환경공학과) ;
  • 김윤용 (한국과학기술원 건설 및 환경공학과) ;
  • 김진근 (한국과학기술원 건설 및 환경공학과)
  • Published : 2005.06.01

Abstract

This study proposes an algorithm for detection and analysis of cracks in digital image of concrete surface to automate the measurement process of crack characteristics such as width, length, and orientation based on image processing technique. The special features of algorithm are as follows: (1) application of morphology technique for shading correction, (2) improvement of detection performance based on enhanced binarization and shape analysis, (3) suggestion of calculation algorithms for width, length, and orientation. A MATLAB code was developed for the proposed algorithm, and then test was performed on crack images taken with digital camera to examine validity of the algorithm. Within the limited test in the present study, the proposed algorithm was revealed as accurately detecting and analyzing the cracks when compared to results obtained by a human and classical method.

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