Signal, Image and Video Processing

, Volume 10, Issue 4, pp 679–686 | Cite as

A simplified texture gradient method for improved image segmentation

  • Qi WangEmail author
  • M. W. Spratling
Original Paper


Inspired by the probability of boundary (Pb) algorithm, a simplified texture gradient method has been developed to locate texture boundaries within grayscale images. Despite considerable simplification, the proposed algorithm’s ability to locate texture boundaries is comparable with Pb’s texture boundary method. The proposed texture gradient method is also integrated with a biologically inspired model, to enable boundaries defined by discontinuities in both intensity and texture to be located. The combined algorithm outperforms the current state-of-art image segmentation method (Pb) when this method is also restricted to using only local cues of intensity and texture at a single scale.


Cue integration Edge detection Image segmentation Texture segmentation 


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Copyright information

© Springer-Verlag London 2015

Authors and Affiliations

  1. 1.Department of InformaticsKing’s College LondonLondonUK

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