A Novel Method for Detecting the Circle on Motion-Blurred Image

  • Fengjing Liu
  • Xing Zhou
  • Ju HuoEmail author
  • Yunhe Liu
  • Ming Yang
  • Shuai Liu
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 516)


As a typical feature point with the distinct advantage of being detected easily, the circle has been widely used for camera calibration and motion measurement. However, motion blur may cause a negative effect on the accuracy of the center location. In this paper, the developed method for the circle detection on motion blur image is proposed, which consists of two procedures. Wiener filtering is used to restore a degraded image in the first step. Zernike moment is utilized to subpixel central location in the second step. Image restoring simulation and center detection experiments are provided to verify the performance of the method. Results show that the clarity of the images restored by Weiner filtering is high and the circles on the restored image can be detected successfully and located accurately.


Stereo vision Code recognition Circle detection Motion blur 


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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Fengjing Liu
    • 1
  • Xing Zhou
    • 2
  • Ju Huo
    • 2
    Email author
  • Yunhe Liu
    • 1
  • Ming Yang
    • 3
  • Shuai Liu
    • 1
  1. 1.Beijing Institute of Spacecraft System EngineeringBeijingChina
  2. 2.School of Electrical EngineeringHarbin Institute of TechnologyHarbinChina
  3. 3.Control and Simulation CenterSchool of Astronautics, Harbin Institute of TechnologyHarbinChina

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