期刊文献+

多目标优化在图像处理中的应用综述 被引量:3

Overview of the applications of multiple objective optimization methods in image processing
下载PDF
导出
摘要 基于多目标优化理论对图像处理优化技术展开研究,首先分析了图像处理优化技术的研究现状,并指出了存在的问题;然后初步建立了图像处理的多目标优化模型,并给出了图像处理优化的系统流程;接着分析了图像处理优化的关键问题,包括建立优化的数学模型、确定优化的目标、选择最佳的优化算法、以及算法参数的最优设计等;最后讨论了图像处理优化技术的进一步研究方向。 Being a complicated multi-objective optimization problem, the techniques of image processing is applied in many engineering fields, however, few pepole study the problem of image processing with the view of the multi-objective optimization. The optimization techniques of image processing based on multi-objective optimization theory are reviewed. First the state of the art in image processing optimization are investigated, and the existing problems are presented. Second the multi-objective optimization model of image processing is built, and the flow of the optimization system is given. Third the key techniques in image processing optimization are analyzed, including the construction of the mathematical model, the establishment of optimization objectives, the choice of the most compatible optimization algorithms, and the design of the optimal algorithm parameters. Finally the some further research contents and directions are discussed.
出处 《系统工程与电子技术》 EI CSCD 北大核心 2008年第9期1774-1781,共8页 Systems Engineering and Electronics
基金 国防科技大学博士创新基金资助课题(0509)
关键词 图像处理 多目标优化 优化算法 正交设计 均匀设计 image processing multi-objective optimization optimal algorithm orthogonal design uniform design
  • 相关文献

参考文献53

  • 1Nelder J A, Mead R. A simplex method for function minimization[J].Computer J, 1965, 7(2) :308- 313.
  • 2Fisher M L. The Lagrangian relaxation method for solving integer programming problems[J]. Management Science, 1981, 27 (1):1 -18.
  • 3Figueiredo M T, Leitao J M N. Sequential and parallel image restoration: neural network implementations[J]. IEEE Trans.Image Processing, 1994, 3(6) : 789 - 801.
  • 4Wong H S, Guan L. Application of evolutionary programming to adaptive regularization in image restoration[J]. IEEE Trans. Evolutionary Computation, 2000, 4(4) :309 - 326.
  • 5Robini M C, Rastello T, Magnin I E. Simulated annealing, acceleration techniques, and image restoration[J]. IEEE Trans. Image Processing, 1999, 8(10): 1374 - 1387.
  • 6Schou J, Skriver H. Restoration of polarimetric SAR images using simulated annealing[J]. IEEE Trans. Geoscience and Remote Sensing, 2001, 39(9): 2005-2016.
  • 7Shyu M S, Leou J J. A genetic algorithm approach to color image enhancement[J]. Pattern Recognition, 1998, 31 (7) : 871 - 880.
  • 8Munteanu C, Rosa A. Gray-scale image enhancement as an automatic process driven by evolution[J]. IEEE Trans. SMC, Part B, 2004, 34(2) :1292 - 1298.
  • 9Shkvarko Y V, Montiel J L L, Rizo L, et al. Neural networkbased signal processing for enhancing the Multi-Sensor Remote Sensing Imagery[C]//Proc. CONIELECOMP'04, 2004:168 - 172.
  • 10罗惠韬,章毓晋.基于算法评价的分割算法优化思想及其系统实现[J].电子科学学刊,1998,20(5):577-583. 被引量:7

二级参考文献24

  • 1刘士新,宋健海,唐加福.蚁群最优化——模型、算法及应用综述[J].系统工程学报,2004,19(5):496-502. 被引量:36
  • 2王毅刚,金以文.在小波分解下的分形块方法图象编码[J].中国图象图形学报(A辑),1996,1(3):201-204. 被引量:10
  • 3Dorigo M, Maniezzo V, Colorni A. The ant system:Optimization by a colony of cooperating agents [J].IEEE Trans on SMC, 1996,26(1):28-41.
  • 4Dorigo M, Gambardella L M. Ant colony system.. A cooperative learning approach to the traveling salesman problem[J]. IEEE Trans on Evolutionary Computing,1997,1 (1) : 53-56.
  • 5Colorni A, Dorigo M, Maniezzo V. Ant colony system for job-shop scheduling [J]. Belgian J of Operations Research Statistics and Computer Science, 1994,34 (1):39-53.
  • 6Maniezzo V. Exact and approximate nondeterministic tree search procedures for the quadratic assignment problem[J]. Informs J of Computer, 1999, (11) :358-369.
  • 7Bilchev G, Parmee I C. The ant colony metaphor for searching continuous design spaces[J]. Lecture Notesin Computer Science, 1995, 993:25-39.
  • 8Johann Dr6o, Patrick Siarry. A new ant colony algorithm using the heterarchical concept aimed at optimization of multiminima continuous functions[A].Proc of the 3rd Int Workshop on Ant Algorithms ANTS'2002[C]. Brussels, 2002: 216-221.
  • 9Eckart Zitzler, Kalyanmoy Deb, Lothar Thiele.Comparison of multiobjective evolutionary algorithms : Empirical results [ J ]. Evolutionary Computation, 2000, 8(2) ,173-195.
  • 10章毓晋,中国图象图形学报,1996年,1卷,2期,151页

共引文献119

同被引文献62

  • 1林毅夫,徐立新,寇宏,周叶菁,裴思纬.金融结构与经济发展相关性的最新研究进展[J].金融监管研究,2012(3):4-20. 被引量:74
  • 2Gang Wu,Fa-Jun Chen,Feng Ge,Yu-Cheng Sun.Effects of Elevated Carbon Dioxide on the Growth and Foliar Chemistry of Transgenic Bt Cotton[J].Journal of Integrative Plant Biology,2007,49(9):1361-1369. 被引量:3
  • 3LUINTEL K B, KHAN M, ARESTIS P, et al. Financial structure and economic growth[J]. Journal of DevelopmentEconomics, 2008, 86(1) : 181-200.
  • 4LEVINE R. Finance, regulation and inclusive growth [C]//The OECD and World Bank Conference on Challengesand Policies for Inclusive Growth. Paris: OECD Publisher, 2011 : 55-75.
  • 5吴晓求.金融改革需要战略思维[N] .经济日报,2015-06-11(14).
  • 6RAYMOND G. Financial structure and development[M]. New Haven: Yale University Press, 1969.
  • 7MCKINNON R I. Money and capital in economic development[M]. Washington D. C. : Brookings Institution Press,1973.
  • 8SHAW E S. Financial deepening in economic development[M]. New York: Oxford University Press, 1973.
  • 9CAPRIO G, HONOHAN P, STIGLITZ J E. Financial liberalization: how far, how fast- [M]. Cambridge: CambridgeUniversity Press, 2006.
  • 10LEVINE R. Financial development and economic growth: views and agenda [J] . Journal of Economic Literature,1997, 35(2) : 688-726.

引证文献3

二级引证文献59

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