Author(s)

Jihong Zuo, Lili Liu^*, Chuanyin Yang, Yufeng Tang

College of Intelligent Control, Hunan Railway Professional Technology College, Zhuzhou, China.

The rail surface status image is affected by the noise in the shooting environment and contains a large amount of interference information, which increases the difficulty of rail surface status identification. In order to solve this problem, a preprocessing method for the rail surface state image is proposed. The preprocessing process mainly includes image graying, image denoising, image geometric correction, image extraction, data amplification, and finally building the rail surface image database. The experimental results show that this method can efficiently complete image processing, facilitate feature extraction of rail surface status images, and improve rail surface status recognition accuracy.

Image Processing, Image Graying, Image Denoising, Image Database

Zuo, J. , Liu, L. , Yang, C. and Tang, Y. (2024) Research on Image Preprocessing Algorithm for Rail Surface Recognition. Open Journal of Applied Sciences, 14, 2801-2808. doi: 10.4236/ojapps.2024.1410183.