New detection method of ellipse by using randomized Hough transform

被引:0
|
作者
Chen, Yanxin
Qi, Feihu
机构
关键词
Computer vision - Image analysis - Mathematical transformations;
D O I
暂无
中图分类号
学科分类号
摘要
When Randomized Hough Transform (RHT) is directly used to detect ellipses, five points are needed to be randomly sampled to determine the ellipse parameters, hence a large amount of useless accumulations are caused during processing complex images. To solve the problem, a new detection method of ellipse using RHT was proposed, which uses two randomly picked points (with edge directions) and one searched point to calculate the ellipse parameters. In doing so, only two points are randomly picked when the ellipse parameters are calculated, furthermore, the searched point can be used to determine whether the parameters should be accumulated or not, therefore, the problem of useless sampling and accumulations is well solved. In comparison with other detection methods, this method has the advantages of high speed, small storage and good detection performance.
引用
收藏
页码:43 / 47
相关论文
共 50 条
  • [1] A new ellipse detection method using Randomized Hough Transform
    Chen, YX
    Qi, FH
    JOURNAL OF INFRARED AND MILLIMETER WAVES, 2000, 19 (01) : 43 - 47
  • [2] Ellipse detection: a simple and precise method based on randomized Hough transform
    Teng, Zhu
    Kim, Jeong-Hyun
    Kang, Dong-Joong
    OPTICAL ENGINEERING, 2012, 51 (05)
  • [3] Efficient technique for ellipse detection using Restricted Randomized Hough Transform
    Cheng, ZG
    Liu, YC
    ITCC 2004: INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY: CODING AND COMPUTING, VOL 2, PROCEEDINGS, 2004, : 714 - 718
  • [4] Randomized hough transform: Better ellipse detection.
    McLaughlin, RA
    1996 IEEE TENCON - DIGITAL SIGNAL PROCESSING APPLICATIONS PROCEEDINGS, VOLS 1 AND 2, 1996, : 409 - 414
  • [5] Randomized hough transform for ellipse detection with result clustering
    Basca, CA
    Talos, M
    Brad, R
    Eurocon 2005: The International Conference on Computer as a Tool, Vol 1 and 2 , Proceedings, 2005, : 1397 - 1400
  • [6] Randomized Hough Transform: Improved ellipse detection with comparison
    McLaughlin, RA
    PATTERN RECOGNITION LETTERS, 1998, 19 (3-4) : 299 - 305
  • [7] The Application of Randomized Hough Transform in Ellipse Image Detection
    Hu, Xinyu
    Chen, Zuobing
    Zhang, Daode
    Yang, Guangyou
    MICRO NANO DEVICES, STRUCTURE AND COMPUTING SYSTEMS, 2011, 159 : 388 - +
  • [8] An Efficient Method for Ellipse Reconstruction Using the Hough Transform for Cherenkov Cone Detection
    Walenta, A. H.
    Beyerlein, B.
    Brill, A. B.
    Khalid, W.
    Fleck, I.
    Furenlid, L. R.
    Peterson, T. E.
    2017 IEEE NUCLEAR SCIENCE SYMPOSIUM AND MEDICAL IMAGING CONFERENCE (NSS/MIC), 2017,
  • [9] Ellipse detection using an improved randomized Hough Transformation
    Teng, Zhu
    Kim, Jeong-Hyun
    Kang, Dong-Joong
    IMAGE PROCESSING: ALGORITHMS AND SYSTEMS IX, 2011, 7870
  • [10] A NEW CURVE DETECTION METHOD - RANDOMIZED HOUGH TRANSFORM (RHT)
    XU, L
    OJA, E
    KULTANEN, P
    PATTERN RECOGNITION LETTERS, 1990, 11 (05) : 331 - 338