成果信息
Image registration by minimizing Tsallis divergence measure
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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:89
浏览次数:89
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
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[2]A fuzzy tri-level decision making algorithm and its application in supply chain
[3]A Hybrid Clustering Algorithm Based on Dimensional Reduction and K-Harmonic Means
[4]An EM algorithm for independent component analysis using an AR-GGD source model
[5]Fusion of heterogeneous incomplete hesitant preference relations in group decision making
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