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

基于小波与齐次Besov空间的图像分割算法
引用本文:赵在新,成礼智.基于小波与齐次Besov空间的图像分割算法[J].计算数学,2011,33(1):103-112.
作者姓名:赵在新  成礼智
作者单位:国防科技大学理学院, 长沙 410073
基金项目:国家自然科学基金 (10601068) 和全国优秀博士论文资助基金(2005043).
摘    要:从具有全局最优解的几何活动轮廓方法出发,分别提出了两种基于齐次Besov窄间与小波变换的图像分割算法,并给出了解的存在性证明.数值求解利用小波软阈值以及分裂Bregman方法,能够有效提高计算效率.由于小波变换具有多分辨特性,对于包含较多细节信息的图像,采用新算法能够得到更好的分割效果.数值实验表明采用新算法能够获得较...

关 键 词:图像分割  Besov空间  小波变换  总变差  分裂Bregman方法
收稿时间:2010-01-28

IMAGE SEGMENTATION ALGORITHMS BASED ON WAVELET AND HOMOGENEOUS BESOV SPACE
Zhao Zaixin,Cheng Lizhi.IMAGE SEGMENTATION ALGORITHMS BASED ON WAVELET AND HOMOGENEOUS BESOV SPACE[J].Mathematica Numerica Sinica,2011,33(1):103-112.
Authors:Zhao Zaixin  Cheng Lizhi
Institution:College of Science, National University of Defense Technology, Changsha 410073, China
Abstract:Two image segmentation algorithms were proposed based on homogeneous Besov space, inspired from geodesic active contors methods with global minimizers. Meanwhile the existence of the solution was proved. Those new algorithms can be resolved efficiently through wavelet soft threshold thanks to the conections between wavelet transform and Besov space semi-norm. And split Bregman method was also adopted in one of algorithms. Dwe to the multiresolution character of wavelet, they are proper to segment images containing more fine information. Numerical simulations show that the proposed methods can improve computation efficiency and result in good segmentation.
Keywords:Image Segmentation  Besov Space  Wavelet Transform  Total Variation  Split Bregman Method
本文献已被 CNKI 万方数据 等数据库收录!
点击此处可从《计算数学》浏览原始摘要信息
点击此处可从《计算数学》下载免费的PDF全文
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