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

被引：19
作者：
Shah-Hosseini, Hamed [1 ]
机构：
[1] Shahid Beheshti Univ, Fac Elect & Comp Engn, GC, Tehran, Iran
来源：
INTERNATIONAL JOURNAL OF MODELLING IDENTIFICATION AND CONTROL | 2012年 / 15卷 / 04期
关键词：
intelligent water drops algorithm; Otsu; multilevel thresholding; grey-level images; iterative threshold selection;
D O I：
10.1504/IJMIC.2012.046402
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：241 / 249
页数：9
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