Intelligent water drops algorithm for automatic multilevel thresholding of grey-level images using a modified Otsu's criterion

نویسنده

  • Hamed Shah-Hosseini
چکیده

In this paper, the newly introduced swarm-based optimisation algorithm called intelligent water drops (IWDs) algorithm is adjusted to optimise a modified Otsu’s criterion for automatic multilevel thresholding. The proposed algorithm simply called IWD-AMLT is tested with several grey-level images and its performance is assessed by the peak signal to noise ratio (PSNR) measure. The thresholded images obtained by the IWD-AMLT have high qualities according to the subjective judgement and the PSNR values.

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عنوان ژورنال:
  • IJMIC

دوره 15  شماره 

صفحات  -

تاریخ انتشار 2012