A Technique for Pattern Recognition of Concrete Surface Cracks

콘크리트 표면 균열 패턴인식 기법 개발

  • Lee Bang-Yeon (Dept. of Civil and Environmental Engineering, Korea Advanced Institute of Science and Technology) ;
  • Park Yon-Dong (Dept. of Civil Engineering, Daegu Haany Univ.) ;
  • Kim Jin-Keun (Dept. of Civil and Environmental Engineering, Korea Advanced Institute of Science and Technology)
  • 이방연 (한국과학기술원 건설 및 환경공학과) ;
  • 박연동 (대구한의대학교 건축) ;
  • 김진근 (한국과학기술원 건설 및 환경공학과)
  • Published : 2005.06.01


This study proposes a technique for the recognition of crack patterns, which includes horizontal, vertical, diagonal($-45^{\circ}$), diagonal($+45^{\circ}$), and random cracks, based on image processing technique and artificial neural network. A MATLAB code was developed for the proposed image processing algorithm and artificial neural network. Features were determined using total projection technique, and the structure(no. of layers and hidden neurons) and weight of artificial neural network were determined by learning from artificial crack images. In this process, we adopted Bayesian regularization technique as a generalization method to eliminate overfitting Problem. Numerical tests were performed on thirty-eight crack images to examine validity of the algorithm. Within the limited tests in the present study, the proposed algorithm was revealed as accurately recognizing the crack patterns when compared to those classified by a human expert.


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