Quantitative Identification of Concrete Surface Cracks Based on Deep Learning Clustering Segmentation and Morphology

Jiewen Yang; Guang Zhang; Xijiang Chen; Ya Ban

doi:10.3788/LOP57.221023

Laser & Optoelectronics Progress, Volume. 57, Issue 22, 221023(2020)

Quantitative Identification of Concrete Surface Cracks Based on Deep Learning Clustering Segmentation and Morphology

Jiewen Yang¹, Guang Zhang¹, Xijiang Chen^1、*, and Ya Ban²

Author Affiliations

¹School of Safety & Emergency Management, Wuhan University of Technology, Wuhan, Hubei 430079, China;

²Chongqing Academic of Measurement and Quality Inspection, Chongqing 404100, China

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Jiewen Yang, Guang Zhang, Xijiang Chen, Ya Ban. Quantitative Identification of Concrete Surface Cracks Based on Deep Learning Clustering Segmentation and Morphology[J]. Laser & Optoelectronics Progress, 2020, 57(22): 221023

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Paper Information

Category: Image Processing

Received: Feb. 10, 2020

Accepted: Mar. 6, 2020

Published Online: Nov. 9, 2020

The Author Email: Xijiang Chen (cxj_Q421@163.com)

DOI:10.3788/LOP57.221023

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology