A Kriging-Assisted Reference Vector Guided Multi-Objective Evolutionary Fuzzy Clustering Algorithm for Image Segmentation

In order to reduce the computational complexity of multi-objective evolutionary optimization-based clustering algorithms, a Kriging-assisted reference vector guided multi-objective robust spatial fuzzy clustering algorithm (KRV-MRSFC) is proposed and then successfully applied to image segmentation....

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Vydáno v:	IEEE access Ročník 7; s. 21465 - 21481
Hlavní autoři:	Zhao, Feng, Zeng, Zhe, Liu, Han Qiang, Fan, Jiu Lun
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Piscataway IEEE 2019 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Approximation algorithms Clustering Clustering algorithms Computing costs Evolutionary algorithms Evolutionary computation fuzzy clustering Image segmentation Kriging model Linear programming Magnetic resonance imaging Model accuracy multi-objective optimization Multiple objective analysis Noise Optimization reference vector guided evolutionary algorithm Sociology Spatial data Statistics
ISSN:	2169-3536, 2169-3536
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Abstract	In order to reduce the computational complexity of multi-objective evolutionary optimization-based clustering algorithms, a Kriging-assisted reference vector guided multi-objective robust spatial fuzzy clustering algorithm (KRV-MRSFC) is proposed and then successfully applied to image segmentation. We first construct objective functions with noise robust local spatial information derived from the image to improve the robustness to noise and then use the Kriging model to approximate each objective function to decrease the computational cost. Meanwhile, in order to improve the approximation accuracy of the Kriging model, an angle-penalized distance-based expected improvement sampling criterion is presented in the KRV-MRSFC, which can select individuals with better exploitation and exploration to update the Kriging model. In addition, KRV-MRSFC adopts a clustering validity index with noise robust local image spatial information to select the optimal solution from the final non-dominated solution set to perform image segmentation. The experiments performed on Berkeley and real magnetic resonance images indicate that the proposed method not only achieves satisfactory segmentation performance on noisy images but also requires a low time cost.
AbstractList	In order to reduce the computational complexity of multi-objective evolutionary optimization-based clustering algorithms, a Kriging-assisted reference vector guided multi-objective robust spatial fuzzy clustering algorithm (KRV-MRSFC) is proposed and then successfully applied to image segmentation. We first construct objective functions with noise robust local spatial information derived from the image to improve the robustness to noise and then use the Kriging model to approximate each objective function to decrease the computational cost. Meanwhile, in order to improve the approximation accuracy of the Kriging model, an angle-penalized distance-based expected improvement sampling criterion is presented in the KRV-MRSFC, which can select individuals with better exploitation and exploration to update the Kriging model. In addition, KRV-MRSFC adopts a clustering validity index with noise robust local image spatial information to select the optimal solution from the final non-dominated solution set to perform image segmentation. The experiments performed on Berkeley and real magnetic resonance images indicate that the proposed method not only achieves satisfactory segmentation performance on noisy images but also requires a low time cost.
Author	Liu, Han Qiang Fan, Jiu Lun Zeng, Zhe Zhao, Feng
Author_xml	– sequence: 1 givenname: Feng orcidid: 0000-0002-0323-9573 surname: Zhao fullname: Zhao, Feng email: fzhao.xupt@gmail.com organization: Key Laboratory of Electronic Information Application Technology for Scene Investigation, Ministry of Public Security, Xi'an University of Posts and Telecommunications, Xi'an, China – sequence: 2 givenname: Zhe surname: Zeng fullname: Zeng, Zhe organization: Key Laboratory of Electronic Information Application Technology for Scene Investigation, Ministry of Public Security, Xi'an University of Posts and Telecommunications, Xi'an, China – sequence: 3 givenname: Han Qiang surname: Liu fullname: Liu, Han Qiang organization: School of Computer Science, Shaanxi Normal University, Xi'an, China – sequence: 4 givenname: Jiu Lun surname: Fan fullname: Fan, Jiu Lun organization: Key Laboratory of Electronic Information Application Technology for Scene Investigation, Ministry of Public Security, Xi'an University of Posts and Telecommunications, Xi'an, China
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Cites_doi	10.1109/TFUZZ.2018.2796074 10.1109/TEVC.2013.2248012 10.1109/34.295913 10.1016/j.swevo.2011.05.001 10.1016/j.asoc.2010.01.007 10.1109/TIP.2010.2040763 10.1109/TEVC.2016.2622301 10.1007/3-540-45356-3_83 10.1109/TFUZZ.2018.2852289 10.1109/34.868688 10.1109/42.996338 10.1109/TEVC.2015.2395073 10.1016/j.patcog.2003.04.001 10.1109/TSMCC.2005.855506 10.1109/TCYB.2017.2710978 10.1109/CVPR.2012.6247942 10.1109/TEVC.2018.2802784 10.1109/TSMCB.2004.831165 10.1109/TEVC.2016.2519378 10.1109/TPAMI.2010.161 10.1109/TSMCC.2004.841917 10.1016/0098-3004(84)90020-7 10.2307/1268522 10.1109/78.127962 10.1109/CEC.2009.4983250 10.1109/ICAPR.2009.51 10.1109/TSMC.1979.4310076 10.1016/j.compchemeng.2017.09.017 10.1016/j.asoc.2015.01.039 10.1016/S0020-0255(02)00208-6 10.1109/TEVC.2017.2675628 10.1109/TEVC.2006.877146
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References	ref35 ref13 ref34 ref12 ref37 ref14 ref31 deb (ref26) 2000 ref11 mukhopadhyay (ref15) 2011; 11 ref10 ref2 ref1 ref39 ref17 ref19 ref18 cornell (ref28) 2011 zhao (ref16) 2015; 30 luo (ref38) 0 deb (ref29) 1995; 9 ref24 ref23 lophaven (ref36) 2002 ref25 wang (ref20) 0 ref41 ref22 ref21 deb (ref30) 1996; 26 ref27 guo (ref33) 0 ref8 tian (ref32) 0 ref7 ref9 worth (ref40) 2009 ref4 ref3 ref6 ref5
References_xml	– start-page: 2 year: 2002 ident: ref36 article-title: DACE: A MATLAB Kriging toolbox – ident: ref41 doi: 10.1109/TFUZZ.2018.2796074 – year: 0 ident: ref32 article-title: Multi-objective infill criterion driven Gaussian process assisted particle swarm optimization of high-dimensional expensive problems publication-title: IEEE Trans Evol Comput – ident: ref31 doi: 10.1109/TEVC.2013.2248012 – ident: ref4 doi: 10.1109/34.295913 – ident: ref17 doi: 10.1016/j.swevo.2011.05.001 – volume: 11 start-page: 872 year: 2011 ident: ref15 article-title: A multiobjective approach to MR brain image segmentation publication-title: Appl Soft Comput doi: 10.1016/j.asoc.2010.01.007 – ident: ref11 doi: 10.1109/TIP.2010.2040763 – ident: ref23 doi: 10.1109/TEVC.2016.2622301 – year: 0 ident: ref33 article-title: Heterogeneous ensemble-based infill criterion for evolutionary multiobjective optimization of expensive problems publication-title: IEEE Trans Cybern – start-page: 849 year: 2000 ident: ref26 article-title: A fast elitist non-dominated sorting genetic algorithm for multi-objective optimization: NSGA-II publication-title: Parallel Problem Solving from Nature PPSN VI doi: 10.1007/3-540-45356-3_83 – ident: ref35 doi: 10.1109/TFUZZ.2018.2852289 – ident: ref5 doi: 10.1109/34.868688 – ident: ref9 doi: 10.1109/42.996338 – start-page: 30 year: 2011 ident: ref28 publication-title: Experiments with Mixtures Designs Models and the Analysis of Mixture Data – year: 0 ident: ref20 article-title: A random forest-assisted evolutionary algorithm for data-driven constrained multiobjective combinatorial optimization of trauma systems publication-title: IEEE Trans Cybern – ident: ref27 doi: 10.1109/TEVC.2015.2395073 – year: 0 ident: ref38 article-title: Evolutionary optimization of expensive multiobjective problems with co-sub-Pareto front Gaussian process surrogates publication-title: IEEE Trans Cybern – ident: ref7 doi: 10.1016/j.patcog.2003.04.001 – ident: ref37 doi: 10.1109/TSMCC.2005.855506 – ident: ref19 doi: 10.1109/TCYB.2017.2710978 – ident: ref2 doi: 10.1109/CVPR.2012.6247942 – ident: ref21 doi: 10.1109/TEVC.2018.2802784 – ident: ref10 doi: 10.1109/TSMCB.2004.831165 – year: 2009 ident: ref40 publication-title: The internet brain segmentation repository (ibsr) – ident: ref25 doi: 10.1109/TEVC.2016.2519378 – ident: ref39 doi: 10.1109/TPAMI.2010.161 – ident: ref24 doi: 10.1109/TSMCC.2004.841917 – ident: ref8 doi: 10.1016/0098-3004(84)90020-7 – ident: ref34 doi: 10.2307/1268522 – ident: ref6 doi: 10.1109/78.127962 – ident: ref1 doi: 10.1109/CEC.2009.4983250 – ident: ref14 doi: 10.1109/ICAPR.2009.51 – ident: ref3 doi: 10.1109/TSMC.1979.4310076 – volume: 26 start-page: 30 year: 1996 ident: ref30 article-title: A combined genetic adaptive search (GeneAS) for engineering design publication-title: Comput Sci Inf – volume: 9 start-page: 115 year: 1995 ident: ref29 article-title: Simulated binary crossover for continuous search space publication-title: Complex Syst – ident: ref18 doi: 10.1016/j.compchemeng.2017.09.017 – volume: 30 start-page: 48 year: 2015 ident: ref16 article-title: A multiobjective spatial fuzzy clustering algorithm for image segmentation publication-title: Appl Soft Comput doi: 10.1016/j.asoc.2015.01.039 – ident: ref13 doi: 10.1016/S0020-0255(02)00208-6 – ident: ref22 doi: 10.1109/TEVC.2017.2675628 – ident: ref12 doi: 10.1109/TEVC.2006.877146
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SubjectTerms	Approximation algorithms Clustering Clustering algorithms Computing costs Evolutionary algorithms Evolutionary computation fuzzy clustering Image segmentation Kriging model Linear programming Magnetic resonance imaging Model accuracy multi-objective optimization Multiple objective analysis Noise Optimization reference vector guided evolutionary algorithm Sociology Spatial data Statistics
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Title	A Kriging-Assisted Reference Vector Guided Multi-Objective Evolutionary Fuzzy Clustering Algorithm for Image Segmentation
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