Browse DORAS
Browse Theses
Latest Additions
Creative Commons License
Except where otherwise noted, content on this site is licensed for use under a:

Stopping region-based image segmentation at meaningful partitions

Adamek, Tomasz and O'Connor, Noel E. (2007) Stopping region-based image segmentation at meaningful partitions. In: SAMT 2007 - 2nd International Conference on Semantic and Digital Media Technologies, 5-7 December 2007, Genova, Italy. ISBN 978-3-540-77033-6

Full text available as:

PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader


This paper proposes a new stopping criterion for automatic image segmentation based on region merging. The criterion is dependent on image content itself and when combined with the recently proposed approaches to syntactic segmentation can produce results aligned with the most salient semantic regions/objects present in the scene across heterogeneous image collections. The method identifies a single iteration from the merging process as the stopping point, based on the evolution of an accumulated merging cost during the complete merging process. The approach is compared to three commonly used stopping criteria: (i) required number of regions, (ii) value of the least link cost, and (iii) Peak Signal to Noise Ratio (PSNR). For comparison, the stopping criterion is also evaluated for a segmentation approach that does not use syntactic extensions. All experiments use a manually generated segmentation ground truth and spatial accuracy measures. Results show that the proposed stopping criterion improves segmentation performance towards reflecting real-world scene content when integrated into a syntactic segmentation framework.

Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Additional Information:The original publication is available at
Subjects:Computer Science > Information retrieval
Computer Science > Image processing
DCU Faculties and Centres:Research Initiatives and Centres > Centre for Digital Video Processing (CDVP)
Published in:Semantic Multimedia. Lecture Notes in Computer Science 4816. Springer Berlin / Heidelberg. ISBN 978-3-540-77033-6
Publisher:Springer Berlin / Heidelberg
Official URL:
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:European Commission FP6- 027026, Science Foundation Ireland, SFI 03/IN.3/I361
ID Code:451
Deposited On:21 May 2008 by DORAS Administrator. Last Modified 05 May 2010 12:52

Download statistics

Archive Staff Only: edit this record