Multiobjective Image Color Quantization Algorithm Based on Self-Adaptive Hybrid Differential Evolution

In recent years, some researchers considered image color quantization as a single-objective problem and applied heuristic algorithms to solve it. This paper establishes a multiobjective image color quantization model with intracluster distance and intercluster separation as its objectives. Inspired...

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Detalles Bibliográficos
Autores principales: Hu, Zhongbo, Su, Qinghua, Xia, Xuewen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5056010/
https://www.ncbi.nlm.nih.gov/pubmed/27738423
http://dx.doi.org/10.1155/2016/2450431
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author Hu, Zhongbo
Su, Qinghua
Xia, Xuewen
author_facet Hu, Zhongbo
Su, Qinghua
Xia, Xuewen
author_sort Hu, Zhongbo
collection PubMed
description In recent years, some researchers considered image color quantization as a single-objective problem and applied heuristic algorithms to solve it. This paper establishes a multiobjective image color quantization model with intracluster distance and intercluster separation as its objectives. Inspired by a multipopulation idea, a multiobjective image color quantization algorithm based on self-adaptive hybrid differential evolution (MoDE-CIQ) is then proposed to solve this model. Two numerical experiments on four common test images are conducted to analyze the effectiveness and competitiveness of the multiobjective model and the proposed algorithm.
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spelling pubmed-50560102016-10-13 Multiobjective Image Color Quantization Algorithm Based on Self-Adaptive Hybrid Differential Evolution Hu, Zhongbo Su, Qinghua Xia, Xuewen Comput Intell Neurosci Research Article In recent years, some researchers considered image color quantization as a single-objective problem and applied heuristic algorithms to solve it. This paper establishes a multiobjective image color quantization model with intracluster distance and intercluster separation as its objectives. Inspired by a multipopulation idea, a multiobjective image color quantization algorithm based on self-adaptive hybrid differential evolution (MoDE-CIQ) is then proposed to solve this model. Two numerical experiments on four common test images are conducted to analyze the effectiveness and competitiveness of the multiobjective model and the proposed algorithm. Hindawi Publishing Corporation 2016 2016-09-25 /pmc/articles/PMC5056010/ /pubmed/27738423 http://dx.doi.org/10.1155/2016/2450431 Text en Copyright © 2016 Zhongbo Hu et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Hu, Zhongbo
Su, Qinghua
Xia, Xuewen
Multiobjective Image Color Quantization Algorithm Based on Self-Adaptive Hybrid Differential Evolution
title Multiobjective Image Color Quantization Algorithm Based on Self-Adaptive Hybrid Differential Evolution
title_full Multiobjective Image Color Quantization Algorithm Based on Self-Adaptive Hybrid Differential Evolution
title_fullStr Multiobjective Image Color Quantization Algorithm Based on Self-Adaptive Hybrid Differential Evolution
title_full_unstemmed Multiobjective Image Color Quantization Algorithm Based on Self-Adaptive Hybrid Differential Evolution
title_short Multiobjective Image Color Quantization Algorithm Based on Self-Adaptive Hybrid Differential Evolution
title_sort multiobjective image color quantization algorithm based on self-adaptive hybrid differential evolution
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5056010/
https://www.ncbi.nlm.nih.gov/pubmed/27738423
http://dx.doi.org/10.1155/2016/2450431
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AT suqinghua multiobjectiveimagecolorquantizationalgorithmbasedonselfadaptivehybriddifferentialevolution
AT xiaxuewen multiobjectiveimagecolorquantizationalgorithmbasedonselfadaptivehybriddifferentialevolution

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