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

二维Tsallis熵阈值法中基于粒子群优化的参数选取
引用本文:林爱英,李辉,吴莉莉,昝红英.二维Tsallis熵阈值法中基于粒子群优化的参数选取[J].郑州大学学报(理学版),2012(1):50-55.
作者姓名:林爱英  李辉  吴莉莉  昝红英
作者单位:河南农业大学理学院;郑州大学信息工程学院
基金项目:国家自然科学基金资助项目,编号60970083;河南省教育厅自然科学研究计划资助项目,编号2008B510010
摘    要:针对二维Tsallis熵阈值分割法中参数q的选取问题,提出一种粒子群优化算法自适应选取参数q的方法.该方法基于一种图像分割质量评价指标—均匀性测度,利用粒子群优化算法对参数q在参数空间进行优化搜索,从而实现了二维Tsallis熵阈值分割法的自动阈值选取.实验表明,所提出的方法可以根据具体的图像有效地选取参数q,获得理想的图像分割结果.

关 键 词:阈值分割  二维Tsallis熵  粒子群优化  自适应参数选取

Parameter Selection in Two-dimensional Tsallis Entropy Method with Particle Swarm Optimization
LIN Ai-ying,LI Hui,WU Li-li,ZAN Hong-ying.Parameter Selection in Two-dimensional Tsallis Entropy Method with Particle Swarm Optimization[J].Journal of Zhengzhou University:Natural Science Edition,2012(1):50-55.
Authors:LIN Ai-ying  LI Hui  WU Li-li  ZAN Hong-ying
Institution:1.College of Science,Henan Agricultural University,Zhengzhou 450002,China;2.College of Information and Engineering,Zhengzhou University,Zhengzhou 450001,China)
Abstract:In order to select the proper parameter q in two-dimension Tsallis’s entropy for image thresholding segmentation,a self-adaptive paramerter selection method based on particle swarm optimization was proposed.The presented method was based on uniformity measure—an image segmentation valuation criteria—and utilized particle swarm optimization algorithm to search for the optimal parameter in parameter space.It realized the aim of automatic selection for the threshold with two-dimensional Tsallis’s entropy method.The experiment results showed that the novel method obtained the suitable parameter value q and ideal segmentation results.
Keywords:thresholding segmentation  two-dimensional Tsallis entropy  particle swarm optimization  self-adaptive parameter selection
本文献已被 CNKI 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