DocumentCode
2676787
Title
Wall crack detection based on image processing
Author
Hu, Dongna ; Tian, Tian ; Yang, Hengxiang ; Xu, Shibo ; Wang, Xiujin
Author_Institution
Sch. of Comput. Sci. & Technol., Tianjin Univ., Tianjin, China
fYear
2012
fDate
15-17 July 2012
Firstpage
597
Lastpage
600
Abstract
In this paper, a novel crack detection method is proposed based on the digital image of building external wall. We strive to record the wall surface condition accurately, and then get the linear characteristics of the image for crack recognition. This paper first does image edge detection, image binary of adaptive threshold and removal of isolated points, obtaining effective linear characteristics. Finally we distinguish the cracks and the normal lines through the curve fitting and its parameter analysis. The experimental results are satisfactory.
Keywords
crack detection; curve fitting; edge detection; image segmentation; walls; adaptive threshold; crack recognition; curve fitting; digital image processing; image binary; image edge detection; isolated points removal; linear characteristics; parameter analysis; wall crack detection method; wall surface condition; Buildings; Correlation; Feature extraction; Fitting; Heuristic algorithms; Image edge detection; Image segmentation;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Information Processing (ICICIP), 2012 Third International Conference on
Conference_Location
Dalian
Print_ISBN
978-1-4577-2144-1
Type
conf
DOI
10.1109/ICICIP.2012.6391474
Filename
6391474
Link To Document