Image segmentation with unified region and boundary characteristics within recursive shortest spanning tree
2007 IEEE 15th Signal Processing and Communications Applications, SIU
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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.
Region based image segmentation
Spanning tree algorithms
Digital image storage
Published Version (Please cite this version)http://dx.doi.org/10.1109/SIU.2007.4298597
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