Using dempster-shafer theory to fuse multiple information sources in region-based segmentation
Adamek, Tomasz and O'Connor, Noel E.ORCID: 0000-0002-4033-9135
(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.
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.