期刊文献+

基于量子克隆多宇宙算法的图像融合研究 被引量:4

Image Fusion Processing Based on Multi-Universe Quantum Cloning Algorithm
下载PDF
导出
摘要 针对量子化算法对图像融合的缺点,提出量子克隆多宇宙算法。首先对量子克隆、变异和选择变换获得新的量子群,然后将宇宙各自独立化并且内部为并行拓朴结构,采用量子旋转门更新量子宇宙个体,宇宙之间联合交叉,实现信息的交流,最后给出了图像融合流程。实验结果表明,该方法能够更加有效、准确地融合图像中的特征,是一种有效可行的图像处理算法。 The presented multi-universe quantum clone algorithm is used to reverse the shortcoming of quantum evolutionary algorithm in image fusion.Firstly,the new quantum group is created by action of clone,mutation and selection.Then the universes are settled as independent parts and the inner structure is constructed as parallel topology.The quantum rotation gate is applied to update individual universe,information among the universes is exchanged by adopting the quantum crossover operation.Finally,the processing of image fusion is described.The experiment results show that this proposed mechanism is an efficient image processing method that can correctly and efficiently fuse the characters of image.
出处 《液晶与显示》 CAS CSCD 北大核心 2012年第6期837-841,共5页 Chinese Journal of Liquid Crystals and Displays
基金 河南省教育厅科学技术研究重点项目(No.12B510016) 鹤壁职业技术学院校本项目(No.HZY-2011-59) 河南省社科联暨经团联项目(No.SKL-2012-3244)
关键词 多宇宙 并行 量子克隆 图像融合 multi-universe parallel quantum cloning image fusion
  • 相关文献

参考文献13

二级参考文献102

共引文献167

同被引文献32

  • 1刘磊,钱芸生,邱亚峰,常本康.激光助视/微光夜间驾驶仪设计及野外试验[J].红外与激光工程,2007,36(3):361-364. 被引量:6
  • 2Harris C, Stephens M. A combined corner and edge detector[C]// Processing of the 4th ALVEY Vision Conference, Manchester, England : ()rganising Committee AVC, 1988 : 147-151.
  • 3Moravec H P. Towards automatic visual obstacle avoidance[C]// PrOcessing of the 5th International Joint Confer- ence on Artificial Intelligence, Cambridge, Massachusetts, USA: Morgan Kaufmann Publishers Inc., 1977: 584-590.
  • 4Fram J R,I)eutsch E S. On the quantitative evaluation of edge detection schemes and their comparison with human performance [J]. IEEE Transactions, on Computers, 1975, C-24 (6) : 618-628.
  • 5RafaelCG,RichardEW.数字图像处理(第二版)[M].北京:电子工业出版社,2005:98-108.
  • 6MEITZLER T J,KISTNER R W,PIBIL W T,et al..Computing the probability of target detection in dynamic visual scenes containing clutter using fuzzy logic approach[J].Optical Engineering,1998,37(7):1951-1959.
  • 7YUAN Y H,CHANG B K,ZHANG J J,et al..Real-time implementation of visible and infrared image fusion and new measure based on spectral information[J].Proc.SPIE,2009,7383:73830S-1-73830S-7.
  • 8FAIRCHILD M D.Color Appearance Models[M].U.S.A:Addison Wesley Inc,1998.
  • 9PIELLA G,. A general fra, mework for multiresolu- tion image fusion: from pixels to regoons[J], In- formation Fusion ,2003,4(4) :259-280.
  • 10ZHANG Z, BLUM R S, A eategorizafiar of raulti- scale-deco, mpositiml based image fusion schemes with a perfcrmance study for a digital camera appli- cation [J]. proceedings of IEEE, 1999, 37 (3): 1315-1326.

引证文献4

二级引证文献80

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