Fast crack detection method for large-size concrete surface images using percolation-based image processing

By Tomoyuki Yamaguchi, S. Hashimoto. Machine Vision and Applications, 2010

435 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Industrial and Manufacturing Engineering

View Paper: https://www.semanticscholar.org/paper/04e645fc3e5a578b8d5d662f0b0070eb1255a3e2

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In Civil and Structural Engineering

In Industrial and Manufacturing Engineering

Citations in the corpus

A review on computer vision based defect detection and condition assessment of concrete and asphalt civil infrastructure (2015, background): “Yamaguchi et al. [49] used scalable local percolation-based image processing techniques and they proved to be efficient and accurate even for large surface images [50].”
Automated Crack Detection on Concrete Bridges (2016, methodology): “need for manual parameter adjustment as in prior methods such as the percolation algorithm [9], [10] and binarization methods [8], [12], [14].”
Image‐based post‐disaster inspection of reinforced concrete bridge systems using deep learning with Bayesian optimization (2018, background): “Much of the research in defect detection and assessment largely focused on cracks (e.g., Abdel-Qader, Abudayyeh, & Kelly, 2003; Feng & Feng, 2017; Torok, Golparvar-Fard, & Kochersberger, 2013; Yamaguchi & Hashimoto 2010; Yeum & Dyke, 2015; Yoon, Comput Aided Civ Inf.”
NB-CNN: Deep Learning-Based Crack Detection Using Convolutional Neural Network and Naïve Bayes Data Fusion (2018, background): “For more complicated scenes, using advanced image analysis techniques, including image percolation [8], local binary pattern (LBP) [4], [9], crack blob features [10], Gabor [11], and wavelet [12], is a better strategy to detect cracks.”
A REVIEW PAPER ON LOOSENESS DETECTION METHODS IN BOLTED STRUCTURES (2017, methodology): “The efficiency of the method in detection of different flaws like cracks (Abdel-Qader & Kelly, 2003; Hutchinson & Chen, 2006; Yamaguchi & Hashimoto, 2010; Subirats, et al., 2006; Zou, et al., 2012), corrosions (Choi & Kim, 2005; Lee, et al., 2006) or even online monitoring of cable bridges (Ho, et…”