Optimized deep encoder-decoder methods for crack segmentation-Reference-Cited by-同舟云学术

Optimized deep encoder-decoder methods for crack segmentation

Published:2021-01 Issue: Volume:108 Page:102907
ISSN:1051-2004
Container-title:Digital Signal Processing
language:en
Short-container-title:Digital Signal Processing

Author:

König Jacob^ORCID,Jenkins Mark David,Mannion Mike,Barrie Peter,Morison Gordon

Funder

Glasgow Caledonian University

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Signal Processing,Artificial Intelligence,Applied Mathematics,Computer Vision and Pattern Recognition,Statistics, Probability and Uncertainty,Computational Theory and Mathematics

Reference65 articles.

1. Pavement crack detection using the Gabor filter;Salman,2013

2. How to get pavement distress detection ready for deep learning? A systematic approach;Eisenbach,2017

3. DeepCrack: learning hierarchical convolutional features for crack detection;Zou;IEEE Trans. Image Process.,2019

4. Road deformation detection based sensor fusion;Yamaki,2017

5. Real-time dense stereo embedded in a UAV for road inspection;Fan,2019

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