Hierarchical Convolutional Neural Network With Feature Preservation and Autotuned Thresholding for Crack Detection

Hierarchical Convolutional Neural Network With Feature Preservation and Autotuned Thresholding for Crack Detection

Drone imagery is increasingly used in automated inspection for infrastructure surface defects, especially in hazardous or unreachable environments. In machine vision, the key to crack detection rests with robust and accurate algorithms for image processing. To this end, this paper proposes a deep le...

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Bibliographic Details
Main Authors: Qiuchen Zhu, Tran Hiep Dinh, Manh Duong Phung, Quang Phuc Ha
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Deep learning
crack detection
hierarchical convolutional neural network
feature preserving
thresholding
Online Access:https://ieeexplore.ieee.org/document/9406809/

Internet

https://ieeexplore.ieee.org/document/9406809/

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