|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
This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Bristol's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to email@example.com.
By choosing to view this document, you agree to all provisions of the copyright laws protecting it.
- multi-modal segmentation, evaluation of segmentation, region-based, image fusion, human segmentation
9th International Conference on Information Fusion
|Duration||1 Jul 2006 → …|