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A simplified texture gradient method for improved image segmentation

Research output: Contribution to journalArticlepeer-review

Original languageEnglish
Pages (from-to)679-686
JournalSignal, Image and Video Processing
Issue number4
Early online date4 Jul 2015
E-pub ahead of print4 Jul 2015
PublishedApr 2016


  • wang_sivpro15

    wang_sivpro15.pdf, 0.98 MB, application/pdf

    Uploaded date:31 Mar 2016

    Version:Accepted author manuscript

King's Authors


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.

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