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      • Department of Electrical and Electronics Engineering
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      Image segmentation with unified region and boundary characteristics within recursive shortest spanning tree

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      Author
      Esen, E.
      Alp, Yaşar Kemal
      Date
      2007
      Source Title
      Proceedings of the 15th Signal Processing and Communications Applications, IEEE 2007
      Print ISSN
      2165-0608
      Publisher
      IEEE
      Language
      Turkish
      Type
      Conference Paper
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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 characteristics
      Boundary 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/11693/26995
      Published Version (Please cite this version)
      http://dx.doi.org/10.1109/SIU.2007.4298597
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      • Department of Electrical and Electronics Engineering 3597
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