Convergent heterogeneous particle swarm optimisation algorithm for multilevel image thresholding segmentation-Reference-Cited by-同舟云学术

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Convergent heterogeneous particle swarm optimisation algorithm for multilevel image thresholding segmentation

Published:2017-07-13 Issue:8 Volume:11 Page:605-619
ISSN:1751-9667
Container-title:IET Image Processing
language:en
Short-container-title:IET Image Processing

Author:

Mozaffari Mohammad Hamed¹,Lee Won‐Sook¹

Affiliation:

1. School of Electrical Engineering and Computer Science, University of Ottawa800 King‐Edward AvenueOttawaOntarioCanadaK1N 7S6

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-ipr.2016.0489

Reference59 articles.

1. Neighbourhood weighted fuzzy c‐means clustering algorithm for image segmentation;Zaixin Z.;IET Image Process.,2014

2. Minimisation of local within‐class variance for image segmentation;Zhou D.;IET Image Process.,2016

3. A Multilevel Thresholding algorithm using electromagnetism optimization

4. LiuY. XueJ. andLiH.: ‘The Study on the Image Thresholding Segmentation Algorithm’.2015

5. Survey over image thresholding techniques and quantitative performance evaluation

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