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Uni-Modal Versus Joint Segmentation for Region-Based Image Fusion

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5 Author(s)
J. J. Lewis ; Centre for Communications Research, University of Bristol, Bristol, BS8 1UB, UK. ; S. G. Nikolov ; C. N. Canagarajah ; D. R. Bull
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A number of segmentation techniques are compared with regard to their usefulness for region-based image and video fusion. In order to achieve this, a new multi-sensor data set is introduced containing a variety of infra-red, visible and pixel fused images together with manually produced "ground truth" segmentations. This enables the objective comparison of joint and unimodal segmentation techniques. A clear advantage to using joint segmentation over unimodal segmentation, when dealing with sets of multi-modal images, is shown. The relevance of these results to region-based image fusion is confirmed with task-based analysis and a quantitative comparison of the fused images produced using the various segmentation algorithms

Published in:

2006 9th International Conference on Information Fusion

Date of Conference:

10-13 July 2006