Research on pavement crack detection algorithm in complex background
Author:
Affiliation:
1. Tianjin Transportation Technical College,E-School-Enterprise Cooperation Management Center,Tianjin,China
2. Tiangong University,School of Computer Science and Technology,Tianjin,China
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10140173/10140194/10140681.pdf?arnumber=10140681
Reference17 articles.
1. Pavement crack detection system through localized thresholding[D];n;Toledo University of Toledo,2009
2. Real-Time Image Thresholding Based on Sample Space Reduction and Interpolation Approach[J];cheng;Journal of Computing in Civil Engineering,2003
3. Automatic cell image segmentation using a shape classification model[C];shah;Tokyo Proceedings of the IAPR Conference on Machine Vision Applications,2007
4. Research on pavement crack detection and recognition methods based on Image analysis[D];jiang;Nanjing Nanjing University of Posts and Telecommunications,2016
5. Histogram-based approach for automated pavement-crack sensing[J];kirschke;Journal of Transportation Engineering,1992
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1. Adaptive & Fine-Grained Domain Adaptation for Pavement Crack Segmentation using YOLOv8 Learning Framework;2024 International Conference on Advances in Data Engineering and Intelligent Computing Systems (ADICS);2024-04-18
2. Research on Methods of Pavement Distress Detection Based on Object Detection Convolutional Neural Network;2024 8th International Conference on Robotics, Control and Automation (ICRCA);2024-01-12
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