Electronic Science and Technology ›› 2023, Vol. 36 ›› Issue (7): 8-15.doi: 10.16180/j.cnki.issn1007-7820.2023.07.002

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Recognition Method of the Combined Trackside Signal Light Based on Image Processing

GUO Qicheng1,SHEN Tuo1,2,ZHANG Xuanxiong1   

  1. 1. School of Optical-Electrical and Computer Engineering,University of Shanghai for Science and Technology, Shanghai 200093,China
    2. Shanghai Key Laboratory of Rail Infrastructure Durability and System Safety, Tongji University,Shanghai 201804,China
  • Received:2022-01-21 Online:2023-07-15 Published:2023-06-21
  • Supported by:
    National Natural Science Foundation of China(U1734211)

Abstract:

The trackside signal light is an important guidance for a running train in a rail transportation system. However, the combined trackside signal light included two colors is also used as a specific sign in addition to the usual single color signal light. In order to solve the recognition problem of the combined trackside signal light, a method based on image processing technology is employed to recognize the combined trackside signal light located within 150 m in front of train. As a result, the candidate region characteristics of the combined trackside signal light are extracted by color segmentation, morphological processing, and Hough transform. On the other hand, the combined trackside signal light can be positioned on the right of running rail train. The central spacing between two single lights can determine whether or not existing combined trackside signal light to remove the possible interferences from other lights or environment. The experimental results indicate that this method can accurately locate and recognize the combined trackside signal light, and the color correction ratio is 94.14% for green and yellow light, 96.21% for two green lights, 86.67% for two yellow lights.

Key words: combined trackside signal light, image processing, color segmentation, morphological operation, Hough transform, edge detection, track extraction, image recognition

CLC Number: 

  • TN99