HIGHLIGHTS
SUMMARY
With the continuous development of artificial_intelligence technology, BP neural_network, PNN, support vector machine (SVM), deep convolutional neural_network (DCNN), and machine vision have been widely used in the field of defects recognition. As one of the main methods, convolutional neural_network (CNN) is widely used in the field of rail image recognition and has achieved excellent results. Due to the rise of neural_networks, deep learning networks are applied on the measurement and analysis of segmentation surface of railway tracks. Based on the construction of "2.4" section grayscale image coding based on VMDmulti-sensor fusion and . . .
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