A algorithm based on adaptive smoothing and mixed probability model

  • Authors:

  • Xiao-hong Sui;Yan-ying Wang

  • Affiliations:

  • Electrical & Information Engineering College, Heilongjiang Institute of Science and Technology, Harbin, China;Electrical & Information Engineering College, Heilongjiang Institute of Science and Technology, Harbin, China

  • Venue:
  • AICI'11 Proceedings of the Third international conference on Artificial intelligence and computational intelligence - Volume Part II
  • Year:
  • 2011

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Abstract

According to the object surface characteristics effect on sensor signal in the sensor, in order to have the detection with robustness, adaptive smoothing and mixed probability model were adopted. When laser spot played in the complex object surface, the ring image that laser spot form was usually expressed as a strong interference image, there were still some wrong points in the test results, so a detection algorithm with robustness based on adaptive smoothing and mixed probability model is proposed, and the effectiveness of the algorithm is tested by experiment, thus the sensor detection problem in the case of strong interference is solved, and the performance of the sensor is improved.