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A region-based image fusion algorithm using multiresolution segmentation
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.
A region-based image fusion algorithm using multiresolution segmentation
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.
A region-based image fusion algorithm using multiresolution segmentation
Zhenhua Li, (author) / Zhongliang Jing, (author) / Gang Liu, (author) / Shaoyuan Sun, (author) / Henry Leung, (author)
2003-01-01
456635 byte
Conference paper
Electronic Resource
English
A Region-Based Image Fusion Algorithm Using Multiresolution Segmentation
British Library Conference Proceedings | 2003
|DOAJ | 2014
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