@inproceedings{5b30d96b632e469a9e47d39d9171824e,
title = "Road diseases detection method based on probability superposition convolutional neural network",
abstract = "Road diseases detection plays an important role in road maintenance. It's the basis for promoting the healthy development of transportation infrastructure. In this paper, we focus on the method of automatic road diseases detection based on digital image, present a road diseases identification algorithm based on probability superposition edge detection network. Based on the original probability map, we add the probability generated by special disease features. The results of experiment show that the accuracy of this algorithm is significantly higher than the traditional method, especially for the recognition of special diseases.",
keywords = "Deep learning, Road diseases detection, Two-channel",
author = "Baodong Guo and Guosheng Xu and Yanhui Guo and Guoai Xu",
note = "Publisher Copyright: {\textcopyright} 2020 SPIE.; 12th International Conference on Digital Image Processing, ICDIP 2020 ; Conference date: 19-05-2020 Through 22-05-2020",
year = "2020",
doi = "10.1117/12.2572990",
language = "英语",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Xudong Jiang and Hiroshi Fujita",
booktitle = "Twelfth International Conference on Digital Image Processing, ICDIP 2020",
address = "美国",
}