中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页 机构 成果 学者
  
  1. CAS IR Grid
  2. 西安光学精密机械研究所
  3. 中国科学院西安光学精密机械研究所
  4. 光学影像学习与分析中心
A Variational Approach to Simultaneous Image Segmentation and Bias Correction

文献类型：期刊论文

作者Zhang, Kaihua1; Liu, Qingshan1; Song, Huihui1; Li, Xuelong2
刊名ieee transactions on cybernetics
出版日期2015-08-01
卷号45期号:8页码:1426-1437
关键词Bias field computer vision energy minimization image segmentation variational approach
英文摘要this paper presents a novel variational approach for simultaneous estimation of bias field and segmentation of images with intensity inhomogeneity. we model intensity of inhomogeneous objects to be gaussian distributed with different means and variances, and then introduce a sliding window to map the original image intensity onto another domain, where the intensity distribution of each object is still gaussian but can be better separated. the means of the gaussian distributions in the transformed domain can be adaptively estimated by multiplying the bias field with a piecewise constant signal within the sliding window. a maximum likelihood energy functional is then defined on each local region, which combines the bias field, the membership function of the object region, and the constant approximating the true signal from its corresponding object. the energy functional is then extended to the whole image domain by the bayesian learning approach. an efficient iterative algorithm is proposed for energy minimization, via which the image segmentation and bias field correction are simultaneously achieved. furthermore, the smoothness of the obtained optimal bias field is ensured by the normalized convolutions without extra cost. experiments on real images demonstrated the superiority of the proposed algorithm to other state-of-the-art representative methods.
WOS标题词science & technology ; technology
类目[WOS]computer science, artificial intelligence ; computer science, cybernetics
研究领域[WOS]computer science
关键词[WOS]level set method ; active contours driven ; mr-images ; intensity inhomogeneities ; field estimation ; region competition ; fitting energy ; minimization ; nonuniformity ; information
收录类别SCI ; EI
语种英语
WOS记录号WOS:000358213100004
公开日期2015-09-15
源URL[http://ir.opt.ac.cn/handle/181661/25257]  
专题西安光学精密机械研究所_光学影像学习与分析中心
作者单位1.Nanjing Univ Informat Sci & Technol, Smart Grp, Nanjing, Jiangsu, Peoples R China
2.Chinese Acad Sci, Xian Inst Opt & Precis Mech, State Key Lab Transient Opt & Photon, Ctr OPT IMagery Anal & Learning, Xian 710119, Peoples R China
推荐引用方式
GB/T 7714		 Zhang, Kaihua,Liu, Qingshan,Song, Huihui,et al. A Variational Approach to Simultaneous Image Segmentation and Bias Correction[J]. ieee transactions on cybernetics,2015,45(8):1426-1437.
APA Zhang, Kaihua,Liu, Qingshan,Song, Huihui,&Li, Xuelong.(2015).A Variational Approach to Simultaneous Image Segmentation and Bias Correction.ieee transactions on cybernetics,45(8),1426-1437.
MLA Zhang, Kaihua,et al."A Variational Approach to Simultaneous Image Segmentation and Bias Correction".ieee transactions on cybernetics 45.8(2015):1426-1437.

入库方式： OAI收割

来源：西安光学精密机械研究所

浏览0
下载0
收藏0
其他版本

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。