Crack Detection in Concrete Tunnels Using a Gabor Filter Invariant to Rotation

@inproceedings{Medina2017CrackDI,
  title={Crack Detection in Concrete Tunnels Using a Gabor Filter Invariant to Rotation},
  author={Roberto Medina and Jos{\'e} Llamas and Jaime G{\'o}mez Garc{\'i}a-Bermejo and Eduardo Zalama and Miguel Jos{\'e} Segarra},
  booktitle={Sensors},
  year={2017}
}
In this article, a system for the detection of cracks in concrete tunnel surfaces, based on image sensors, is presented. Both data acquisition and processing are covered. Linear cameras and proper lighting are used for data acquisition. The required resolution of the camera sensors and the number of cameras is discussed in terms of the crack size and the tunnel type. Data processing is done by applying a new method called Gabor filter invariant to rotation, allowing the detection of cracks in… CONTINUE READING

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References

Publications referenced by this paper.
SHOWING 1-10 OF 26 REFERENCES

Road crack detection using deep convolutional neural network

  • 2016 IEEE International Conference on Image Processing (ICIP)
  • 2016
VIEW 4 EXCERPTS
HIGHLY INFLUENTIAL

Pavement crack detection using the Gabor filter

  • 16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013)
  • 2013
VIEW 2 EXCERPTS