Laser & Optoelectronics Progress, Volume. 56, Issue 14, 141004(2019)

Three-Dimensional Fiber Orientation Detection Based on facet Model

Guannan Chen, Qun Zhou, Chao Wei, Min Wang*, and Jianxin Chen
Author Affiliations
  • Key Laboratory of Optoelectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, Fujian 350007, China
  • show less
    Figures & Tables(9)
    Simulation results. (a) Simulation of two-dimensional fiber; (b) grayscale in th actual direction; (c) vector weighted algorithm; (d) proposed algorithm
    Diagram of four angles in three-dimensional space
    Three-dimensional simulated fiber. (a) Diameter of 3 pixel; (b) diameter of 9 pixel; (c) diameter of 15 pixel
    Direction measurement errors corresponding to different windows and fiber diameters. (a) Error of ?; (b) error of θ
    Measurement error comparison between proposed algorithm and vector weighted algorithm
    Relationship between number of fibers and measurement error
    Consuming time comparison between vector weighted algorithm and proposed algorithm
    100 simulated fibers with different directions, length, and diameters
    • Table 1. Different fiber diameters corresponding to the best w and h pixelpixel

      View table

      Table 1. Different fiber diameters corresponding to the best w and h pixelpixel

      Fiber diameterwh
      377
      579
      7911
      91113
      111315
      131519
      151523
    Tools

    Get Citation

    Copy Citation Text

    Guannan Chen, Qun Zhou, Chao Wei, Min Wang, Jianxin Chen. Three-Dimensional Fiber Orientation Detection Based on facet Model[J]. Laser & Optoelectronics Progress, 2019, 56(14): 141004

    Download Citation

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

    Category: Image Processing

    Received: Jan. 9, 2019

    Accepted: Feb. 18, 2019

    Published Online: Jul. 12, 2019

    The Author Email: Wang Min (mwang@fjnu.edu.cn)

    DOI:10.3788/LOP56.141004

    Topics