Improving the Accuracy of an R-CNN-Based Crack Identification System Using Different Preprocessing Algorithms

Improving the Accuracy of an R-CNN-Based Crack Identification System Using Different Preprocessing Algorithms

The accurate intelligent identification and detection of road cracks is a key issue in road maintenance, and it has become popular to perform this task through the field of computer vision. In this paper, we proposed a deep learning-based crack detection method that initially uses the idea of image...

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Hlavní autoři: Mian Zhao, Peixin Shi, Xunqian Xu, Xiangyang Xu, Wei Liu, Hao Yang
Médium: Článek
Jazyk:English
Vydáno: MDPI AG 2022-09-01
Edice:Sensors
Témata:
deep learning
crack detection
sparse feature
fast R-CNN algorithms
intelligent monitoring
On-line přístup:https://www.mdpi.com/1424-8220/22/18/7089

Internet

https://www.mdpi.com/1424-8220/22/18/7089

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