Open AccessAnalysis of cracks in structures and buildings
Author(s) -
P. Velumani,
K. Mukilan,
G. S. Varun,
S. Divakar,
R. Muhil Doss,
P. Ganeshkumar
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1706/1/012116
Subject(s) - computer science , process (computing) , artificial intelligence , otsu's method , gray (unit) , image processing , digital image , computer vision , image (mathematics) , identification (biology) , digital image processing , structural engineering , image segmentation , engineering , medicine , botany , biology , radiology , operating system
Analyzing and identifying cracks is the most vital step in the construction process. The manual crack detection process will take longer and will be subjectively assessed by the inspectors. This research provides a conceptual base for the image processing methodology for the automated identification and examination of cracks. This model uses the Gray Intensity Correction Method ( i.e.) Min Max Gray Level Differentiation (M2GLD) for Image Improvement and the Otsu Image Binarization Process. The experimental result shows that the combination of the M2GLD method and the Otsu test will effectively detect crack defects in digital images. This model can therefore be a useful tool for building construction agencies and structural maintenance engineers.