Using dempster-shafer theory to fuse multiple information sources in region-based segmentation
Adamek, Tomasz and O'Connor, Noel E. (2007) Using dempster-shafer theory to fuse multiple information sources in region-based segmentation. In: ICIP 2007 - 14th IEEE International Conference on Image Processing, 16-19 September 2007, San Antonio, Texas, USA.
Full text available as:
This paper presents a new method for segmentation of images into large regions that reflect the real world objects present in a scene. It explores the feasibility of utilizing spatial configuration of regions and their geometric properties (the so-called Syntactic Visual Features ) for improving the correspondence of segmentation results produced by the well-known Recursive Shortest Spanning Tree (RSST) algorithm  to semantic objects present in the scene. The main contribution of this paper is a novel framework for integration of evidence from multiple sources with the region merging process based on the Dempster-Shafer (DS) theory  that allows integration of sources providing evidence with different accuracy and reliability. Extensive experiments indicate that the proposed solution limits formation of regions spanning more than one semantic object.
|Item Type:||Conference or Workshop Item (Paper)|
|Uncontrolled Keywords:||Dempster-Shafer theory; image segmentation; |
|Subjects:||Computer Science > Digital video|
Computer Science > Information retrieval
Computer Science > Image processing
|DCU Faculties and Centres:||Research Initiatives and Centres > Centre for Digital Video Processing (CDVP)|
|Publisher:||Institute of Electrical and Electronics Engineers|
|Copyright Information:||Copyright © 2007 IEEE. Reprinted from ICIP 2007 - Proceedings of the 14th IEEE International Conference on Image Processing. 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 Dublin City University'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 firstname.lastname@example.org.
By choosing to view this document, you agree to all provisions of the copyright laws protecting it.|
|Funders:||European Commission FP6-027026|
|Deposited On:||05 Mar 2008 by DORAS Administrator. Last Modified 05 May 2010 10:44|
Archive Staff Only: edit this record