A two-stage framework for pixel-level pavement surface crack detection-Reference-Cited by-同舟云学术

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A two-stage framework for pixel-level pavement surface crack detection

Published:2024-07 Issue: Volume:133 Page:108312
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Guo Feng^ORCID,Liu Jian,Xie Quanyi,Yu Huayang

Funder

Shandong Province Natural Science Foundation

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference62 articles.

1. An integrated machine learning model for automatic road crack detection and classification in urban areas;Ahmadi;Int. J. Pavement Eng.,2021

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

3. Evaluating pavement cracks with bidimensional empirical mode decomposition;Ayenu-Prah;EURASIP Journal on Advances in Signal Processing,2008

4. Canny edge detection enhancement by scale multiplication;Bao;IEEE Trans. Pattern Anal. Mach. Intell.,2005

5. Rethinking Atrous Convolution for Semantic Image Segmentation;Chen,2017

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1. A non-local based microcrack segmentation model optimized for effective high resolution and low-power devices;Journal of Building Engineering;2024-11

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