期刊文献+

计算机视觉之精密位置控制算法及实现

Computer Vision Based Precision Position Control Algorithm and Its Implementation
下载PDF
导出
摘要 文章基于对现有的轮转模切机及系统的劣势分析,提出了解决当前模切机缺陷的技术方案-基于计算机视觉的精密位置控制算法,并对该算法做了详细的阐述,同时通过对原有模切机进行技术改造和升级对该算法进行了验证,实现让现有模切机系统稳定性得到增强、产品精度得以提高。 After making a thorough analysis on advantages and disadvantages of modern rotary die-cut machines at present, this paper has proposed one of the solutions on resolving these disadvantages thru using computer vision based precision position control algorithm.In this paper, the author has given a detailed description on this algorithm. Through applying this algorithm and control technique on one type of RDC machine, it has got stable system performance and products made with an improved tolerance low than +/-0.1mm.
作者 张羽军
出处 《计算机与网络》 2015年第12期64-66,共3页 Computer & Network
关键词 计算机视觉 模切对位 位置控制 传感器对 轮转模切 产品超差 Computer Vision Die-cut Registration Position Control Sensors Peers Rotary Die Cutting,Out of Tolerance
  • 相关文献

参考文献2

二级参考文献14

  • 1曾理,安贝贝,马睿.脊波在工业CT图像裂纹边缘检测中的应用[J].仪器仪表学报,2007,28(6):981-986. 被引量:13
  • 2TOMCZAK L. Image defect detection methods for visual inspection systems[J].CAD Systems in Microelectronics, 2007,24(20):454-456. 被引量:1
  • 3LIN J, WEI S L. Real-time rail head surface defect detection: a geometrical approach[J].IEEE International Symposium on Industrial Electronics, 2009,8(5):769-774. 被引量:1
  • 4RIBEIRO M X. An association rule-based method to support medical image diagnosis with efficiency[J].IEEE Transactions on Multimedia, 2008,10(2):277-285. 被引量:1
  • 5PERRINET L U. On efficient sparse spike coding schemes for learning natural scenes in the primary visual cortex[J].BMC Neurosci, 2007,8(Suppl 2):206. 被引量:1
  • 6OLSHAUSEN B A, FIELD D J. Sparse coding with an overcomplete basis set: a strategy employed by V1[J].Visual Research, 1997,37(33):11-25. 被引量:1
  • 7BELL A J, SEJNOWSKI T J. The "independent components" of natural scenes are edge filters[J].Visual Research, 1997,37(23):3327-3338. 被引量:1
  • 8VAN HATEREN J H, VANDER Schaaf A. Independent component filters of natural images compared with simple cells in primary visual cortex[J].Proc of Royal Society London, SeriesB, 1998,265:359-366. 被引量:1
  • 9LEWICKI M S, SEJNOWSKI T J. Coding time-varying signals using sparse shift-invariant representations[M].Advances in Neural Information Processing Systems. Cambridge, MA: MIT Press, 1999. 被引量:1
  • 10HYVRINEN A, HOYER P O. Independent compone- nt analysis applied to feature extraction from colour and stereo images[J].Network: Comput- ation in Neural Systerms, 2000,11(3):191-210. 被引量:1

共引文献8

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