Segment-based pavement crack quantification-Reference-Cited by-同舟云学术

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Segment-based pavement crack quantification

Published:2019-09 Issue: Volume:105 Page:102819
ISSN:0926-5805
Container-title:Automation in Construction
language:en
Short-container-title:Automation in Construction

Author:

Weng Xingxing,Huang Yuchun,Wang Wenzong

Funder

Natural Science Foundation of China

Wuhan University

Publisher

Elsevier BV

Subject

Building and Construction,Civil and Structural Engineering,Control and Systems Engineering

Reference25 articles.

1. Iterative tensor voting for pavement crack extraction using mobile laser scanning data;Guan;IEEE Trans. Geosci. Remote Sens.,2015

2. Pavement crack detection using otsu thresholding for image segmentation;Akagic,2018

3. Automatic pavement defect detection using 3d laser profiling technology;Zhang;Autom. Constr.,2018

4. Automatic recognition of asphalt pavement cracks using metaheuristic optimized edge detection algorithms and convolution neural network;Nhat-Duc;Autom. Constr.,2018

5. Automating the crack map detection process for machine operated crack sealer;Tsai;Autom. Constr.,2013

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