OS25-8 Wall Crack Detection based on Adaptive Double Threshold Greyscale Transform

Title:	OS25-8 Wall Crack Detection based on Adaptive Double Threshold Greyscale Transform
Publication:	ICAROB2023
Volume:	28
Pages:	637-642
ISSN:	2188-7829
DOI:	10.5954/ICAROB.2023.OS25-8
Author(s):	Mingrui Lin, Xin Xu, Shilin Chen, Tengxiang Li, Yuhang Hong, Weiqin Wang, Wei Hong Lim, Chin Hong Wong
Publication Date:	February 9, 2023
Keywords:	wall crack detection, image processing, double threshold, adaptive greyscale transform, MATLAB
Abstract:	The construction industry is an important industry supporting social-economic development. Detecting cracks in walls could help to maintain the conditions of buildings. A wall crack detection algorithm based on adaptive double threshold greyscale transform is proposed. The MATLAB built-in ‘graythresh' function is modified in order to have a flag bit to preliminarily selection of the greyscale transformation threshold where the grey transform threshold and the binarization threshold can be automatically adjusted based on the image processing effect using a preliminaryselected threshold. The algorithm enhances the crack information and weakens the background information by multiple morphological operations of removing isolated small area pixels. The MATLAB simulation results show that the proposed algorithm has an accuracy of 96.16%, time from inputting the image to the completion of the labelling is 3-15 seconds, which depends on the complexity of the crack.
PDF File:	https://alife-robotics.co.jp/members2023/icarob/data/html/data/OS/OS25/OS25-8.pdf
Copyright:	© The authors. This article is distributed under the terms of the Creative Commons Attribution License 4.0, which permits non-commercial use, distribution and reproduction in any medium, provided the original work is properly cited. See for details: https://creativecommons.org/licenses/by-nc/4.0/

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