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计算机工程 ›› 2009, Vol. 35 ›› Issue (21): 181-182,. doi: 10.3969/j.issn.1000-3428.2009.21.060

• 人工智能及识别技术 • 上一篇    下一篇

基于圆投影与矢量和的旋转不变量检测方案

薛 骏1,2,程 俊2,王 黎1,高晓蓉1,姜 军2,3   

  1. (1. 西南交通大学光电工程研究所,成都 610031;2. 中科院深圳先进技术研究院,深圳 518067; 3. 哈尔滨工业大学航天学院控制科学与工程系,哈尔滨 150001)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2009-11-05 发布日期:2009-11-05

Rotation Invariance Detection Scheme Based on Circular Projection and Vector Sum

XUE Jun1,2, CHENG Jun2, WANG Li1, GAO Xiao-rong1, JIANG Jun2,3   

  1. (1. Research Institute of Photoelectrical Engineering Technology, Southwest Jiaotong University, Chengdu 610031; 2. Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518067; 3. Department of Control Science and Engineering, School of Astronautics, Harbin Institute of Technology, Harbin 150001)
  • Received:1900-01-01 Revised:1900-01-01 Online:2009-11-05 Published:2009-11-05

摘要: 在工业产品检测中,传统模板匹配方法不适用于元件标志的旋转情况。针对该问题提出基于圆投影与矢量和的旋转不变量检测方案,采用构造模板的方法,乘以模板中的系数实现灰度图像圆周投影统计和一维特征向量矢量圆求和的功能。实验结果证明,该方案可以实现目标发生旋转后的标志匹配,其抗噪能力和处理速度高于SIFT算法。

关键词: 圆投影, 矢量和, 旋转不变量, 模板匹配

Abstract: Traditional template matching methods are not proper for the rotation situation of component logo in the industrial production detection. Aiming at this problem, this paper proposes a rotation invariance detection scheme based on circular projection and vector sum. Through making mask of which coefficient is multiplied by the corresponding pixel, this method realizes function of circular projection statistics of grayscale image and 1D eigenvector vector circularity summing. Experimental results demonstrate that this method can realize symbol matching after the target is rotated and has higher noise suppression ability and detection speed than SIFT algorithm.

Key words: circular projection, vector sum, rotation invariance, template matching

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