A critical review and comparative study on image segmentation-based techniques for pavement crack detection
Published 2022 View Full Article
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Title
A critical review and comparative study on image segmentation-based techniques for pavement crack detection
Authors
Keywords
Pavement Crack Detection, Image Processing, Computer Vision, Crack Extraction, Deep Learning, Deep Convolutional Neural Networks
Journal
CONSTRUCTION AND BUILDING MATERIALS
Volume 321, Issue -, Pages 126162
Publisher
Elsevier BV
Online
2022-01-31
DOI
10.1016/j.conbuildmat.2021.126162
References
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- (2018) Hoang Nhat-Duc et al. AUTOMATION IN CONSTRUCTION
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- (2016) H. Zakeri et al. ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING
- Hybrid Procedure for Automated Detection of Cracking with 3D Pavement Data
- (2016) G. Sollazzo et al. JOURNAL OF COMPUTING IN CIVIL ENGINEERING
- Detection crack in image using Otsu method and multiple filtering in image processing techniques
- (2016) Ahmed Mahgoub Ahmed Talab et al. OPTIK
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