Electronic Science and Technology ›› 2020, Vol. 33 ›› Issue (5): 72-76.doi: 10.16180/j.cnki.issn1007-7820.2020.05.012

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A Method of Laser Center Extraction Based on Gaussian Fitting

ZHANG Tianhao,LI Haolin   

  1. School of Mechanical Engineering,University of Shanghai for Science and Technology,Shanghai 200093,China
  • Received:2019-03-19 Online:2020-05-15 Published:2020-06-02
  • Supported by:
    Fund of Shanghai Science and Technology Commission(17DZ2283300)


In laser-assisted vision measurement system, the selection of fitting data in Gauss fitting method affects the accuracy of laser light center extraction. Aiming at the difficulty to determine the number of Gaussian fitting data in laser images under uneven illumination, an adaptive Gaussian fitting method based on random sampling consistency algorithm was proposed in this paper. According to the characteristic of gray-scale variation in background region of laser image, the random sampling consistency algorithm was used to estimate the gray-scale distribution model of background region. The outliers of the model were extracted as Gaussian fitting data. Then, the Gaussian fitting method was used to obtain the sub-pixel coordinates of the center point of the laser light. The experimental results showed that the Gaussian fitting data in the laser image had an average fitting coefficient of 0.934, which improved the accuracy of laser light center extraction compared with the Gaussian fitting method for fixed fitting data length.

Key words: structured light, laser light center, Gaussian fitting method, random sample consensus algorithm, image processing, vision measurement

CLC Number: 

  • TN247