A NOVEL REGION FEATURE USED IN MULTISENSOR IMAGE FUSION

被引:0
|
作者
Li Min Tan Zheng School of Electronics and Information Engineering Xian Jiaotong UniversityXian China Li Xiaoyan Academy of Armored Force Engineering Department of Information Engineering Beijing China [710049 ,100072 ]
机构
关键词
D O I
暂无
中图分类号
TN911.73 [图像信号处理];
学科分类号
摘要
<正>A new region feature which emphasized the salience of target region and its neighbors is proposed. In region segmentation-based multisensor image fusion scheme, the presented feature can be extracted from each segmented region to determine the fusion weight. Experimental results demonstrate that the proposed feature has extensive application scope and it provides much more information for each region. It can not only be used in image fusion but also be used in other image processing applications.
引用
收藏
页码:449 / 451
页数:3
相关论文
共 50 条
  • [1] A NOVEL REGION FEATURE USED IN MULTISENSOR IMAGE FUSION
    Li Min Tan Zheng (School of Electronics and Information Engineering
    Journal of Electronics(China), 2006, (03) : 449 - 451
  • [2] Region-based multisensor image fusion method
    刘刚
    敬忠良
    孙韶媛
    李建勋
    Journal of Systems Engineering and Electronics, 2005, (03) : 521 - 526
  • [3] A Novel Pixel-Level and Feature-Level Combined Multisensor Image Fusion Scheme
    Li, Min
    Li, Gang
    Cai, Wei
    Li, Xiao-yan
    ADVANCES IN NEURAL NETWORKS - ISNN 2008, PT 2, PROCEEDINGS, 2008, 5264 : 658 - +
  • [4] Multisensor image fusion based on biorthogonal multiwavelet transform and region competition
    Hong, Ri-Chang
    Ge, Yong
    Wu, Xiu-Qing
    2007 INTERNATIONAL CONFERENCE ON WAVELET ANALYSIS AND PATTERN RECOGNITION, VOLS 1-4, PROCEEDINGS, 2007, : 366 - 370
  • [5] A Novel Image Fusion System for Multisensor and Multiband Remote Sensing Data
    Chandrakanth, R.
    Saibaba, J.
    Varadan, Geeta
    Raj, P. Ananth
    IETE JOURNAL OF RESEARCH, 2014, 60 (02) : 168 - 182
  • [6] Multisensor image registration by feature consensus
    Shekhar, C
    Govindu, V
    Chellappa, R
    PATTERN RECOGNITION, 1999, 32 (01) : 39 - 52
  • [7] Objectively optimised multisensor image fusion
    Petrovic, V.
    Cootes, T.
    2006 9TH INTERNATIONAL CONFERENCE ON INFORMATION FUSION, VOLS 1-4, 2006, : 883 - 889
  • [8] A survey on multisensor image fusion techniques
    Wang, A
    Sun, HJ
    ICEMI 2005: Conference Proceedings of the Seventh International Conference on Electronic Measurement & Instruments, Vol 7, 2005, : 166 - 174
  • [9] Comments on multisensor image fusion techniques
    Mao, Shi-Yi
    Zhao, Wei
    2002, Beijing University of Aeronautics and Astronautics (BUAA) (28): : 512 - 518
  • [10] Classifier fusion for multisensor image recognition
    Roli, F
    Giacinto, G
    Serpico, SB
    IMAGE AND SIGNAL PROCESSING FOR REMOTE SENSING VI, 2001, 4170 : 103 - 110