| Paper: | MP-P2.9 |
| Session: | Morphological, Level-Set, and Edge or Color Image/Video Segmentation |
| Time: | Monday, September 17, 14:30 - 17:10 |
| Presentation: |
Poster
|
| Title: |
USING DEMPSTER-SHAFER THEORY TO FUSE MULTIPLE INFORMATION SOURCES IN REGION-BASED SEGMENTATION |
| Authors: |
Tomasz Adamek; Dublin City University | | |
| | Noel E. O’Connor; Dublin City University | | |
| Abstract: |
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 [1]) for improving the correspondence of segmentation results produced by the well-known Recursive Shortest Spanning Tree (RSST) algorithm [2] 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 [3] 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. |
