基于图像处理的轨旁信号机识别方法

doi:10.16180/j.cnki.issn1007-7820.2022.08.009

Abstract

Abstract:

The trackside signal light is one of the important components for prompt train operation. In order to ensure train operation safety, a method based on image processing technique is proposed to effectively locate the trackside signal light and identify its color information. The trackside signal light ROI is extracted through the empirical value, and then the color segmentation is carried out to the ROI in the RGB color space to avoid the influence of irrelevant background, and remaining noise is removed through morphology processing. Hough-circle transform is performed on the processed image for the extracted candidate region of signal light, and the operating trackside signal light related to the running train is located according to the position characteristics between the signal light and the track. The pixel value information in the signal light area is analyzed for signal color recognition. The experimental results indicate that the method can precisely locate and recognize trackside signals, and the color correction ratio is 91.42% for red, 85.00% for yellow, and 94.29% for green, respectively.

Key words: trackside signal light, image processing, morphology processing, color segmentation, edge detection, rail location, Hough transform, signal light recognition

CLC Number:

TP391

FENG Junyi,SHEN Tuo,ZHANG Xuanxiong. Trackside Signal Light Recognition Based on Image Processing[J].Electronic Science and Technology, 2022, 35(8): 53-57.

Figures/Tables 8

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红灯	[200,255]	[0,100]	[0,90]
绿灯	[0,50]	[200,255]	[100,180]
黄灯	[200,255]	[200,255]	[50,110]

Trackside Signal Light Recognition Based on Image Processing

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