期刊文献+

基于直线基元的实时定位与匹配方法 被引量:1

Real-time location and matching method based on line geometric primitives with geometric hashing
下载PDF
导出
摘要 为实现工业过程中对工件的实时定位,提出一种基于直线基元的几何哈希法实时定位与匹配方法。离线学习模板过程,提取图像中的直线基元,选择其中两个直线基元构建基底,量化剩余基元并建立几何哈希表;在线实测图像中,选择一组直线基元构成基底,量化剩余基元,通过坐标在几何哈希表中查询对应的基底并投票,来实现实时定位与匹配。实验证明,该方法对于工件的定位与匹配,实时性好、准确性高。 In order to achieve real-time positioning of the workpiece in the industrial processes, a real-time location and matching method based on linear geometric hashing primitive is proposed. In the offline process, linear primitives are extracted from the image, one of the two linear primitives is selected to construct basement, quantify the remaining primitives and establish the geometric Hashing table;In the online process, a set of linear primitives is selected to be basement, quan-tify the remaining primitives, for the coordinates in the geometric Hashing table query corresponding substrate and vote them, in this way real-time locating and matching are achieved. Through the experimental analysis, the method for the positioning and matching of the workpiece, is good real-time, high accuracy.
出处 《计算机工程与应用》 CSCD 2014年第22期228-232,共5页 Computer Engineering and Applications
基金 江苏高校优势学科建设工程资助项目(No.PAPD) 江苏省产学研前瞻性联合研究项目(No.BY2012056)
关键词 机器视觉 几何基元 几何哈希法 匹配定位 machine vision geometric primitives geometric hashing positioning and matching
  • 相关文献

参考文献15

  • 1Steger C,Ulrich M.机器视觉算法与应用[M].北京:清华大学出版社,2008:179-183.
  • 2王斌,舒华忠,施朝健,罗立民.一种基于轮廓线的形状描述与匹配方法[J].电子与信息学报,2008,30(4):949-952. 被引量:25
  • 3Chen J M, Ventura J A.Segmentation of planar curves into circular arcs and line segments[J].Image and Vision Com- puting, 1996, 14( 1 ) :71-83.
  • 4Grimson W E L,Lozano-Perez T.Localizing overlapping parts by searching the interpretation tree[J].IEEE Trans- actions on Pattern Analysis and Machine Intelligence, 1987(4) :469-482.
  • 5Albert T S Au.Affine invariant recognition of 2D occluded objects using Geometric Hashing and Distance Transfor- mation[J].IEEE TENCON-Digital Signal Processing Appli- cations, 1996 : 64-67.
  • 6黄嘉辛,陆军,赵凌君,匡纲要.一种基于仿真图像模板的SAR目标分类方法[J].系统仿真学报,2013,25(6):1359-1363. 被引量:1
  • 7Hu Yuanyuan, Niu Xiamu, Zhang Hui.A novel perceptual image hashing method via geometric features and distance invariant[C]//2nd International Congress on Image and Signal Processing.[S.1.] :IEEE,2009.
  • 8Jayaraman U,Gupta A K,Prakash S,et al.An enhanced geometric hashing[C]//2011 IEEE International Conference on Communications(ICC).[S.1.] : IEEE, 2011 : 1-5.
  • 9夏小玲,柴望.基于Shape Context的形状匹配方法的改进[J].东华大学学报(自然科学版),2009,35(1):79-83. 被引量:6
  • 10Chum O, Matas J.Geometric hashing with local affineframes[C]//Computer Society Conference on Computer Vision and Pattern Recognition, New York, 2006, 1: 879-884.

二级参考文献69

共引文献118

同被引文献14

引证文献1

二级引证文献5

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部