Open AccessMethod for extracting crack area on structure surface based on digital image processing technology
Author(s) -
Song Jiang,
Zhang Hua
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 - 10.1088/1742-6596/1651/1/012183
Subject(s) - surface (topology) , mathematical morphology , enhanced data rates for gsm evolution , image processing , noise (video) , image (mathematics) , digital image processing , digital image , line (geometry) , computer science , nonlinear system , computer vision , structural engineering , artificial intelligence , materials science , geometry , mathematics , engineering , physics , quantum mechanics
According to the characteristics of the surface crack of the wall structure, the method of extracting and marking the surface crack area of the wall mechanism is studied by using the digital image processing technology. In this paper, the wall structure crack is taken as the research object, firstly, the nonlinear Bilateral Filters algorithm is used to suppress the noise and smooth the image; then the crack edge is extracted by Canny operator, all the crack edges are closed by mathematical morphology opening operation, and some non-crack contours are eliminated; finally, the non-crack area is deleted to realize the real mark of crack connected region. The analysis of the experimental results shows that the method proposed in this paper can realize the safe line monitoring of the cracks in the wall structure and mark the area where the real cracks are located.