Journal of Sensor Science and Technology (센서학회지)

The Korean Sensors Society (한국센서학회)
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Detection of Needles in Meat using X-Ray Images and Convolution Neural Networks

X-선 영상과 합성곱 신경망을 이용한 육류 내의 바늘 검출

  • Received : 2020.11.04
  • Accepted : 2020.11.20
  • Published : 2020.11.30
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Abstract

The most lethal foreign body in meat is a needle, and X-ray images are used to detect it. However, because the difference in thickness and fat content is severe depending on the type of meat and the part of the meat, the shade difference and contrast appear severe. This problem causes difficulty in automatic classification. In this paper, we propose a method for generating training patterns by efficient pre-processing and classifying needles in meat using a convolution neural network. Approximately 24000 training patterns and 4000 test patterns were used to verify the proposed method, and an accuracy of 99.8% was achieved.

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References

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