Inspection of rail surface defects based on image processing

@article{Liu2010InspectionOR,
  title={Inspection of rail surface defects based on image processing},
  author={Ze Liu and Wei Wang and Xiaofei Zhang and Wei Jia},
  journal={2010 2nd International Asia Conference on Informatics in Control, Automation and Robotics (CAR 2010)},
  year={2010},
  volume={1},
  pages={472-475}
}
A rail surface defects inspection method based on automated machine vision system is proposed in the paper. Two kinds of defect images including spalling of rail head and cracks in surface are analyzed with this method. Some related algorithms comprising denoising, image segmentation and feature extraction are applied in processing the images of rail surface defect. Then accurate region of defect is extracted and recognized by dynamic thresholding and feature matching. Percentage of wear of… CONTINUE READING