Road diseases detection method based on probability superposition convolutional neural network

Baodong Guo; Guosheng Xu; Yanhui Guo; Guoai Xu

doi:10.1117/12.2572990

12 June 2020 Road diseases detection method based on probability superposition convolutional neural network

Baodong Guo, Guosheng Xu, Yanhui Guo, Guoai Xu

Proceedings Volume 11519, Twelfth International Conference on Digital Image Processing (ICDIP 2020); 1151907 (2020) https://doi.org/10.1117/12.2572990
Event: Twelfth International Conference on Digital Image Processing, 2020, Osaka, Japan

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.

Citation Download Citation

Baodong Guo, Guosheng Xu, Yanhui Guo, and Guoai Xu "Road diseases detection method based on probability superposition convolutional neural network", Proc. SPIE 11519, Twelfth International Conference on Digital Image Processing (ICDIP 2020), 1151907 (12 June 2020); https://doi.org/10.1117/12.2572990

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