期刊文献+

An image registration method based on multi-resolution morphology contour detection

An image registration method based on multi-resolution morphology contour detection
下载PDF
导出
摘要 Combined with the printing application,an image registration method based on the multi-resolution morphology contour detection was proposed.First,a direction based multi-resolution gray morphology in the scheme was proposed to realize the contour extraction.Then,based on the contour features,the subspace image registration was proposed to deal with issues of the computing complexity appeared in the traditional image registration methods.The proposed image registration was efficiently applied in the defect inspection of printing images. Combined with the printing application, an image registration method based on the multi-resolution morphology contour detection was proposed. First, a direction based multi-resolution gray morphology in the scheme was proposed to realize the contour extraction. Then, based on the contour features, the subspace image registration was proposed to deal with issues of the computing complexity appeared in the traditional image registration methods. The proposed image registration was efficiently applied in the defect inspection of printing images.
作者 彭向前
出处 《Journal of Chongqing University》 CAS 2012年第2期88-96,共9页 重庆大学学报(英文版)
基金 Funded by the National Natural Science Foundation of China(General Program,Key Program,Major Research Plan) (Grant No.60474021) China Postdoctoral Science Foundation (Grant No.20100471180) the Freedom Explore Program of Central South University (Grant No. 2012QNZT017)
关键词 contour detection multi-resolution morphology image registration contour detection multi-resolution morphology image registration
  • 相关文献

参考文献2

二级参考文献12

  • 1Fonseca L M G, Manjunath B S. Registration techniques for multisensor remotely sensed imagery. PE & RS, 1996,562(9) : 1049 ~ 1056.
  • 2Li H, Manjunath B S, Mitra S K. A contour based approach to multisensor image registration. IEEE Trans Image Processing, 1995, 4(3): 320-334.
  • 3Flusser J, Suk T. A moment-based approach to registration of images with affine geometric distortion. IEEE Trans Geosci Remote Sensinty. 1994.32(5): 382 ~387.
  • 4Lee J S. A simple speckle smoothing algorithm for SAR images. IEEE Trans on Systems ,Man and Cybernetics, 1983,13(1): 85~59.
  • 5Yang J, Qiu J, Liu B, et al. Research of line moments and its application in image boundaries recognition. Acta Photonica Sinica ( received ).
  • 6Wen W, Lozzi A. Recognition and inspection of manufactured parts using line moments of their boundaries.Pattern Recognition, 1993,26(10) :1461 ~ 1471.
  • 7Hu M K. Visual pattern recognition by moment invariants.IEEE Trans Inf Theory, 1962, IT-8(2) : 179-187.
  • 8Gonzalez Rafael C,Woods Richard E.Digital Image Processing (Second Edition) [M].Beijing:Publishing House of Electronics Industry,2003:581 ~ 585.
  • 9Marr D,Hildreth E.Theory of edge detection [A].In:Proceedings of the Royal Society of London [C],London,UK,1980,B207:187 ~ 217.
  • 10奥本海姆AV,谢弗R W著.离散时间信号处理[M].北京:科学出版社,2000.

共引文献28

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