Optical rail surface crack detection method based on semantic segmentation replacement for magnetic particle inspection

HIGHLIGHTS

  • who: Lei Kou and colleagues from the Institute of Railway Systems and Public, TU-Dresden, Dresden, Germany, have published the Article: Optical Rail Surface Crack Detection Method Based on Semantic Segmentation Replacement for Magnetic Particle Inspection, in the Journal: Sensors 2022, 8214 of /2022/
  • what: In this paper a semantic segmentation is developed by using various collected data and deep learning through a neural network. An acquisition speed of up to 60 km/h in orbit detection has become the research focus in recent years . Because of the above challenges, this paper proposes a new . . .

     

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