电子学报 ›› 2019, Vol. 47 ›› Issue (6): 1324-1330.DOI: 10.3969/j.issn.0372-2112.2019.06.020

• 学术论文 • 上一篇    下一篇

基于等积环投影与Zernike矩的快速模板匹配

赖锦祥1, 雷亮1, 阮杨1, 邓凯元1, 徐初东2, 周金运1   

  1. 1. 广东工业大学物理与光电工程学院, 广东广州 510006;
    2. 华南农业大学电子工程学院, 广东广州 510642
  • 收稿日期:2018-05-02 修回日期:2018-08-23 出版日期:2019-06-25 发布日期:2019-06-25
  • 通讯作者: 雷亮
  • 作者简介:赖锦祥 男,1994年生于广东梅州.现为广东工业大学物理与光电工程学院研究生.主要研究方向为机器视觉和计算机视觉算法.E-mail:1048703768@qq.com
  • 基金资助:
    国家自然科学基金(No.61675050,No.61475037);广东省自然科学基金(No.2015A030313400,No.2017A030313009);广州市科技计划项目(No.201707010347)

Fast Template Matching Based on Equal-Area Ring Projection and Zernike Moments

LAI Jin-xiang1, LEI Liang1, RUAN Yang1, DENG Kai-yuan1, XU Chu-dong2, ZHOU Jin-yun1   

  1. 1. School of Physics and Optoelectronic Engineering, Guangdong University of Technology, Guangzhou, Guangdong 510006, China;
    2. School of Electronic Engineering, South China Agricultural University, Guangzhou, Guangdong 510642, China
  • Received:2018-05-02 Revised:2018-08-23 Online:2019-06-25 Published:2019-06-25

摘要: 为增强工业级机器视觉系统的实时性和稳定性,本文提出一种基于等积环投影与Zernike矩的具有旋转不变性的快速模板匹配方法,该方法采用由粗到精匹配策略,在粗匹配阶段以等积环投影向量作为特征进行匹配得到候选点集,再基于Zenrike矩进行精确匹配.主要创新点为提出复杂度低、抗噪性强和具有旋转不变性的等积环投影向量特征,并利用圆对称性在八分圆法基础上进一步降低Zernike矩计算量.经理论分析和实验对比验证,此法在保障匹配精度前提下,其匹配速度胜于当前同类最优算法,且对高斯噪声及线性亮度变化有强鲁棒性.

关键词: 光电检测, 机器视觉, 模板匹配, 旋转不变, 等积环投影, Zernike矩

Abstract: In order to enhance the real-time performance and stability of industrial-level machine vision systems,this paper proposes a fast template matching method with rotation invariance based on equal-area ring projection and Zernike moments.The method uses a coarse-to-fine matching strategy.The coarse matching stage uses the equal-area ring projection vector as the feature to obtain the candidates,and then use Zenrike moments to accurately match in candidates.The main contributions of this paper are proposing the equal-are ring projection vector feature with low complexity,noise insensitive and rotation invariance,and further reducing the computational cost of Zernike moments based on the octant circle method using circular symmetry.Theoretical analysis and experimental results show that the proposed method is faster than the state-of-the-art algorithm under high matching accuracy,and it is robust to Gaussian noise and linear brightness variations.

Key words: photoelectric inspection, machine vision, template matching, rotation invariant, equal-area ring projection, Zernike moments

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