首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于微粒群算法的图像自适应度变化研究
引用本文:刘伟.基于微粒群算法的图像自适应度变化研究[J].宁波职业技术学院学报,2011,15(2).
作者姓名:刘伟
作者单位:渤海大学,信息科学与技术学院,辽宁,锦州,121000
摘    要:介绍了对灰度非线性转换算法的研究,提出了一种基于微粒群算法的图像对比度自适应变化算法,将改进的微粒群算法进行测试,并且为了在图像增强中取得好的效果,将改进的算法图像在对比度增强中引入,从而实现对比度的自适应变换。

关 键 词:图像自适应度变化  图像增强  最优化  规则化  

Research of image from fitness change based on particle swarm algorithm
LIU Wei.Research of image from fitness change based on particle swarm algorithm[J].Journal of Ningbo Polytechnic,2011,15(2).
Authors:LIU Wei
Institution:LIU Wei(School of Information Science and Technology,Bohai University,Jinzhou 121000,China)
Abstract:A grayscale nonlinear conversion algorithm of research is introduced.A kind of particle swarm algorithm is put forward based on image contrast adaptive change algorithm.The improved particle swarm algorithm is tested.For making good effect in image enhancement,the improved image of algorithm is introduced in contrast enhancement.Thus the contrast degree of the adaptive transform is realized.
Keywords:image from fitness change  image enhancement  optimization  rules  
本文献已被 CNKI 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号