Image segmentation with unified region and boundary characteristics within recursive shortest spanning tree
Author
Esen, E.
Alp, Yaşar Kemal
Date
2007Source Title
Proceedings of the 15th Signal Processing and Communications Applications, IEEE 2007
Print ISSN
2165-0608
Publisher
IEEE
Language
Turkish
Type
Conference PaperItem Usage Stats
172
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111
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Abstract
The lack of boundary information in region based image segmentation algorithms resulted in many hybrid methods that integrate the complementary information sources of region and boundary, in order to increase the segmentation performance. In compliance with this trend, we propose a novel method to unify the region and boundary characteristics within the canonical Recursive Shortest Spanning Tree algorithm. The main idea is to incorporate the boundary information in the distance metric of RSST with minor changes in the algorithm. Additionaly, we still benefit from the simple yet powerful structure of RSST. The results indicate the superiority of the proposed algorithm with respect to the conventional RSST. The object boundaries are successfully preserved. Therefore, the proposed algorithm is a candidate for video object segmentation where object boundaries coincide with motion field boundaries.
Keywords
Boundary characteristicsBoundary information
Complementary information
Distance metric
Hybrid methods
Image segmentation
Object segmentation
Object boundaries
Region based image segmentation
Segmentation performance
Spanning tree algorithms
Permalink
http://hdl.handle.net/11693/26995Published Version (Please cite this version)
http://dx.doi.org/10.1109/SIU.2007.4298597Collections
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