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

Authors: Hamed Shah-Hosseini

Addresses: Faculty of Electrical and Computer Engineering, Shahid Beheshti University, G.C., Tehran, Iran

Abstract: 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.

Keywords: intelligent water drops algorithm; Otsu; multilevel thresholding; grey-level images; iterative threshold selection; swarm-based optimisation; swarm intelligence; thresholded images; image quality.

DOI: 10.1504/IJMIC.2012.046402

International Journal of Modelling, Identification and Control, 2012 Vol.15 No.4, pp.241 - 249

Published online: 29 Nov 2014 *

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