This paper describes a region-based multiresolution (MR) image fusion algorithm. The MR segmentations of source images to be fused are obtained by fuzzy c-means clustering. From these MR region representations of all the input images, we obtain a shared MR region representation to label all the input images. The fusion process is guided by these MR region representations. Experiment results using real data show that the proposed algorithm works well in multisensor image fusion.


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    Title :

    A region-based image fusion algorithm using multiresolution segmentation


    Contributors:
    Zhenhua Li, (author) / Zhongliang Jing, (author) / Gang Liu, (author) / Shaoyuan Sun, (author) / Henry Leung, (author)


    Publication date :

    2003-01-01


    Size :

    456635 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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