成果信息
Image registration by minimizing Tsallis divergence measure
导出 收藏
文献类型:会议论文
标题:Image registration by minimizing Tsallis divergence measure
作者:Sun, Shaoyan[1];Guo, Chonghui[2]
机构:
年:2007
通讯作者:Sun, SY (reprint author), Dalian Univ Technol, Dept Appl Math, Dalian 116024, Peoples R China.
会议名称:4th International Conference on Fuzzy Systems and Knowledge Discovery
会议论文集:FOURTH INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS A
页码范围:712-+
会议地点:Haikou, PEOPLES R CHINA
会议开始日期:2007-08-24
收录情况:EI(20082211282187)  CPCI-S(WOS:000252461000139)  Scopus(2-s2.0-44049105700)  
所属部门:数学科学学院;经济管理学院
人气指数:69
浏览次数:69
语言:外文
摘要:In this paper a novel image registration method is proposed which makes use of the a priori knowledge learned from pre-aligned training images. Two images are registered if the difference between the observed joint distribution estimated from them and the expected joint distribution obtained from the aligned training images is minimized. The difference is measured by the Tsallis divergence measure. The performance of the new method is compared with the classical Shannon mutual information and Tsallis mutual information. Experimental results show that the proposed method is computationally more efficient with higher registration accuracy and faster registration convergence.
全文链接:DOI百度学术
作者发文
[1]Hypergraph-Based Spectral Clustering for Categorical Data
[2]New Operations of Hesitant Fuzzy Linguistic Term Sets with Applications in Multi-Attribute Group Decision Making
[3]A Note on Spectral Clustering Method Based on Normalized Cut Criterion
[4]Fast affinity propagation clustering based on incomplete similarity matrix
[5]Consistency-based algorithms to estimate missing elements for uncertain 2-tuple linguistic preference relations
辽ICP备05001357号     地址:中国·辽宁省大连市甘井子区凌工路2号    邮编:116024    版权所有:大连理工大学
总访问量: 13835532     今日访问量: 8180        日均访问量: 53834        在线用户数:1514
登录