Automatic Pixel-Level Crack Detection and Measurement Using Fully Convolutional Network-Reference-Cited by-同舟云学术

Automatic Pixel-Level Crack Detection and Measurement Using Fully Convolutional Network

Published:2018-08-29 Issue:12 Volume:33 Page:1090-1109
ISSN:1093-9687
Container-title:Computer-Aided Civil and Infrastructure Engineering
language:en
Short-container-title:Computer-Aided Civil and Infrastructure Engineering

Author:

Yang Xincong¹,Li Heng²,Yu Yantao²,Luo Xiaochun²,Huang Ting²,Yang Xu³

Affiliation:

1. Department of Building and Real Estate, the Hong Kong Polytechnic University, Hung Hom; Hong Kong and School of Civil Engineering, Harbin Institute of Technology; Harbin Heilongjiang China

2. Department of Building and Real Estate; the Hong Kong Polytechnic University; Hung Hom Hong Kong

3. School of Civil Engineering; Harbin Institute of Technology; Harbin Heilongjiang China

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Graphics and Computer-Aided Design,Computer Science Applications,Civil and Structural Engineering

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/mice.12412/fullpdf

Reference67 articles.

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4. Output-only computer vision based damage detection using phase-based optical flow and unscented Kalman filters;Cha;Engineering Structures,2017a

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