Laser Journal, Volume. 45, Issue 2, 85(2024)

Ellipse fitting algorithm of least square and FPGA implementation

ZENG Yuanshen... LYU Yong*, LIU Lishuang and XIA Runqiu |Show fewer author(s)
Author Affiliations
  • [in Chinese]
  • show less

    In view of the unsatisfactory time - consuming performance of linear equation solution in the existing least squares ellipse fitting algorithm implemented on field programmable gate array( FPGA) platform ,the Cholesky decomposition algorithm was used to solve the linear equation ,and an iterative adaptive square root solution structure based on Coordinate Rotation Digital Computer ( CORDIC) algorithm was proposed by using unidirectional rotation ,merging iteration ,and adaptive adjustable iteration times to solve the square root operation in Cholesky decomposition. The experimental results show that the improved square root algorithm has a good effect on shortening the output latency of Cholesky decomposition ,and Cholesky decomposition achieves 63. 26% improvement over the existing LDLT decom- position algorithm on FPGA platform. Under the condition that the absolute error of ellipse fitting algorithm is less than 0. 1pixel ,the computer speed can be improves by more than 1 000 times based on FPGA ,so it is suitable for applica- tions with high real-time requirements.

    Tools

    Get Citation

    Copy Citation Text

    ZENG Yuanshen, LYU Yong, LIU Lishuang, XIA Runqiu. Ellipse fitting algorithm of least square and FPGA implementation[J]. Laser Journal, 2024, 45(2): 85

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category:

    Received: Jun. 22, 2023

    Accepted: --

    Published Online: Oct. 15, 2024

    The Author Email: Yong LYU (lvyong@bistu.edu.cn)

    DOI:10.14016/j.cnki.jgzz.2024.2.085

    Topics