A Fast and High-Precision Ellipse Detection Method Based on the Candy's Theorem

被引:4
|
作者
Fang, Xiujun [1 ]
Zhang, Enzheng [1 ]
Li, Bingchen [1 ]
Zhai, Bin [1 ]
机构
[1] Zhejiang Sci Tech Univ, Sch Mat Sci & Engn, Hangzhou 310018, Peoples R China
基金
中国国家自然科学基金;
关键词
Turning; Image edge detection; Fitting; Transforms; Image segmentation; Feature extraction; Manufacturing; Detection algorithms; The Candy's theorem; ellipse detection; detection speed; detection precision; ROBOTIC MANIPULATION;
D O I
10.1109/ACCESS.2023.3315848
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Ellipse detection is one of the important parts of intelligent manufacturing, and the efficient detection of elliptical contours corresponding to hole parts is the prerequisite before performing practical applications. Aiming at enhancing the efficiency in ellipse detection, a fast and high-precision ellipse detection method based on the Candy's theorem is proposed, in which the constrained simple polygon constraint and the Candy's theorem constraint are used to improve the efficiency of ellipse detection. The theory of the proposed ellipse detection method is described in detail. The comparison experiments with six popular ellipse detection methods are performed based on three public datasets, which are to verify the ellipse detection ability of the proposed method in improving detection speed and precision. And a small hole detection experiment is performed with the constructed experimental setup, which is to verify the effectiveness of the proposed method to detect small holes in practical applications. The proposed method can provide referenced methods and theories in the field of ellipse detection.
引用
收藏
页码:102971 / 102980
页数:10
相关论文
共 50 条
  • [21] High-precision,fast geolocation method for spaceborne synthetic aperture radar
    WANG QingSong*
    Science Bulletin, 2012, (Z1) : 289 - 295
  • [22] A Fast and Robust Ellipse-Detection Method Based on Sorted Merging
    Wang, Gangyi
    Ren, Guanghui
    Wu, Zhilu
    Zhao, Yaqin
    Jiang, Lihui
    SCIENTIFIC WORLD JOURNAL, 2014,
  • [23] Fast and high-precision compressible flowfield inference method of transonic airfoils based on attention UNet
    Zhu, Zhijie
    Zhao, Guoqing
    Zhao, Qijun
    PHYSICS OF FLUIDS, 2024, 36 (03)
  • [24] HIGH-PRECISION DETECTION METHOD FOR THE REFERENCE POSITION IN AN OPTICAL ENCODER
    AKEDO, J
    KATO, Y
    KOBAYASHI, H
    APPLIED OPTICS, 1993, 32 (13): : 2315 - 2319
  • [25] High-Precision Atmospheric Disturbance Detection Method for Moving Objects
    Zhang Yue
    Wang Xu
    Su Yun
    Zhang Xuemin
    Wu Zhiqiang
    Zhao Hao
    Deng Hongyan
    ACTA OPTICA SINICA, 2021, 41 (02)
  • [26] High-Precision Camera Calibration Method Based on Sub-Pixel Edge Detection
    Lou Qun
    Lu Junhao
    Wen Lihua
    Xiao Jinyou
    Zhang Guangxi
    Hou Xiao
    ACTA OPTICA SINICA, 2022, 42 (20)
  • [27] Unbalance Vibration Control for MSCMG Based on High-Precision Synchronous Signal Detection Method
    Du, Liang
    Cui, Peiling
    Zhou, Xinxiu
    Li, Jinlei
    Li, Yanbin
    Wu, Yang
    IEEE SENSORS JOURNAL, 2021, 21 (16) : 17917 - 17925
  • [28] High-Precision Vital Signs Detection Method Based on Spectrum Refinement and Extended DCMA
    Xiang, Mingxu
    Ren, Wu
    Li, Weiming
    Xue, Zhenghui
    Journal of Beijing Institute of Technology (English Edition), 2022, 31 (01): : 101 - 111
  • [29] A lightweight and high-precision fatigue driving detection method based on video visual perception
    Zhang, Tengyuan
    Zhang, Zhiyi
    PROCEEDINGS OF 2024 INTERNATIONAL CONFERENCE ON POWER ELECTRONICS AND ARTIFICIAL INTELLIGENCE, PEAI 2024, 2024, : 882 - 888
  • [30] High-precision piston detection method for segments based on a single convolutional neural network
    Wang, Hao
    Zhao, Weirui
    Zhang, Lu
    SEVENTH SYMPOSIUM ON NOVEL PHOTOELECTRONIC DETECTION TECHNOLOGY AND APPLICATIONS, 2021, 11763