|Title of host publication||9th International Conference on Information Fusion, 2006 (ICIF '06) Florence, Italy|
|Publisher or commissioning body||Institute of Electrical and Electronics Engineers (IEEE)|
|Publication date||Jul 2006|
|Pages||1 - 8|
|Number of pages||8|
|ISBN (Print)||0972184465, 1424409535|
|Conference||9th International Conference on Information Fusion|
|Period||1/07/06 → …|
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
Rose publication type: Conference contribution
Sponsorship: This work has been partially funded by the UK MOD
Data and Information Fusion Defence Technology Centre.
The original “UN Camp”, “Trees”, “Dune” and
“Sea” IR and visible images are kindly supplied by
TNO Human Factors Research Institute and the Octec
images by David Dwyer of Octec Ltd. These images
are available online at ImageFusion.org. The “Face”
images are taken from the Human Identification at a
Distance data set, produced by Equinox Corp. available
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- multi-modal segmentation, evaluation of segmentation, region-based, image fusion, human segmentation
9th International Conference on Information Fusion
|Duration||1 Jul 2006 → …|