Open AccessConstruction of Concrete Surface Crack Recognition Model Based on Digital Image Processing Technology
Author(s) -
Yuzhong Kang,
Aimin Yu,
Wenquan Zeng
Publication year - 2021
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 - 10.1088/1742-6596/2074/1/012067
Subject(s) - structural engineering , bridge (graph theory) , pixel , image processing , software , computer science , digital image processing , digital image , edge detection , enhanced data rates for gsm evolution , image (mathematics) , computer vision , artificial intelligence , engineering , medicine , programming language
In this paper, the bridge crack detection method based on digital images is studied. In-depth analysis and evaluation are performed on the image processing algorithms such as image graying, resolution of checkerboard corner pixel rate, filtering denoising, and edge detection, etc. The calculation and software system for bridge crack width based on videos (or images) is implemented, and 15 bridge crack images are used to verify its crack detection accuracy. The results suggest that the proposed crack identification method in this paper can be used for the crack detection of reinforced concrete bridges and class B prestressed concrete bridges properly. When the crack width is greater than 0.3 mm, the calculated crack width value based on images is very close to the measured value.