A Hybrid Rao-NM Algorithm for Image Template Matching
This paper proposes a hybrid Rao-Nelder–Mead (Rao-NM) algorithm for image template matching is proposed. The developed algorithm incorporates the Rao-1 algorithm and NM algorithm serially. Thus, the powerful global search capability of the Rao-1 algorithm and local search capability of NM algorithm...
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| Published in | Entropy (Basel, Switzerland) Vol. 23; no. 6; p. 678 |
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| Main Authors | , , , , |
| Format | Journal Article |
| Language | English |
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27.05.2021
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| Online Access | Get full text |
| ISSN | 1099-4300 1099-4300 |
| DOI | 10.3390/e23060678 |
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| Abstract | This paper proposes a hybrid Rao-Nelder–Mead (Rao-NM) algorithm for image template matching is proposed. The developed algorithm incorporates the Rao-1 algorithm and NM algorithm serially. Thus, the powerful global search capability of the Rao-1 algorithm and local search capability of NM algorithm is fully exploited. It can quickly and accurately search for the high-quality optimal solution on the basis of ensuring global convergence. The computing time is highly reduced, while the matching accuracy is significantly improved. Four commonly applied optimization problems and three image datasets are employed to assess the performance of the proposed method. Meanwhile, three commonly used algorithms, including generic Rao-1 algorithm, particle swarm optimization (PSO), genetic algorithm (GA), are considered as benchmarking algorithms. The experiment results demonstrate that the proposed method is effective and efficient in solving image matching problems. |
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| AbstractList | This paper proposes a hybrid Rao-Nelder–Mead (Rao-NM) algorithm for image template matching is proposed. The developed algorithm incorporates the Rao-1 algorithm and NM algorithm serially. Thus, the powerful global search capability of the Rao-1 algorithm and local search capability of NM algorithm is fully exploited. It can quickly and accurately search for the high-quality optimal solution on the basis of ensuring global convergence. The computing time is highly reduced, while the matching accuracy is significantly improved. Four commonly applied optimization problems and three image datasets are employed to assess the performance of the proposed method. Meanwhile, three commonly used algorithms, including generic Rao-1 algorithm, particle swarm optimization (PSO), genetic algorithm (GA), are considered as benchmarking algorithms. The experiment results demonstrate that the proposed method is effective and efficient in solving image matching problems. This paper proposes a hybrid Rao-Nelder-Mead (Rao-NM) algorithm for image template matching is proposed. The developed algorithm incorporates the Rao-1 algorithm and NM algorithm serially. Thus, the powerful global search capability of the Rao-1 algorithm and local search capability of NM algorithm is fully exploited. It can quickly and accurately search for the high-quality optimal solution on the basis of ensuring global convergence. The computing time is highly reduced, while the matching accuracy is significantly improved. Four commonly applied optimization problems and three image datasets are employed to assess the performance of the proposed method. Meanwhile, three commonly used algorithms, including generic Rao-1 algorithm, particle swarm optimization (PSO), genetic algorithm (GA), are considered as benchmarking algorithms. The experiment results demonstrate that the proposed method is effective and efficient in solving image matching problems.This paper proposes a hybrid Rao-Nelder-Mead (Rao-NM) algorithm for image template matching is proposed. The developed algorithm incorporates the Rao-1 algorithm and NM algorithm serially. Thus, the powerful global search capability of the Rao-1 algorithm and local search capability of NM algorithm is fully exploited. It can quickly and accurately search for the high-quality optimal solution on the basis of ensuring global convergence. The computing time is highly reduced, while the matching accuracy is significantly improved. Four commonly applied optimization problems and three image datasets are employed to assess the performance of the proposed method. Meanwhile, three commonly used algorithms, including generic Rao-1 algorithm, particle swarm optimization (PSO), genetic algorithm (GA), are considered as benchmarking algorithms. The experiment results demonstrate that the proposed method is effective and efficient in solving image matching problems. |
| Author | Wang, Long Luo, Xiong Huang, Chao Liu, Xinran Wang, Zhongju |
| AuthorAffiliation | 3 Beijing Key Laboratory of Knowledge Engineering for Materials Science, Beijing 100083, China 2 Shunde Graduate School, University of Science and Technology Beijing, Foshan 528300, China 1 School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China; G20208816@xs.ustb.edu.cn (X.L.); g20198877@xs.ustb.edu.cn (Z.W.); chao.huang@my.cityu.edu.hk (C.H.); xluo@ustb.edu.cn (X.L.) |
| AuthorAffiliation_xml | – name: 1 School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China; G20208816@xs.ustb.edu.cn (X.L.); g20198877@xs.ustb.edu.cn (Z.W.); chao.huang@my.cityu.edu.hk (C.H.); xluo@ustb.edu.cn (X.L.) – name: 2 Shunde Graduate School, University of Science and Technology Beijing, Foshan 528300, China – name: 3 Beijing Key Laboratory of Knowledge Engineering for Materials Science, Beijing 100083, China |
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| Cites_doi | 10.1109/TCI.2020.3032101 10.1093/comjnl/7.4.308 10.1080/17538947.2014.882420 10.1109/TIP.2019.2893743 10.1016/j.eswa.2008.02.039 10.1007/s11042-014-2369-4 10.1016/j.ijleo.2011.09.052 10.1109/TPAMI.1985.4767663 10.1016/j.neucom.2014.09.098 10.1016/j.rse.2014.09.033 10.1137/S1052623496303470 10.1109/DSP-SPE.2015.7369523 10.1002/9780470744055 10.1016/j.ijleo.2019.163846 10.1109/CVPR.2016.596 10.1016/j.compmedimag.2014.03.004 10.1016/j.ins.2020.04.007 10.1016/j.ijepes.2020.106056 10.1016/j.neucom.2014.09.094 10.1145/3412815.3416891 10.1109/JIOT.2021.3068379 10.1109/CVPR.2012.6248092 10.1016/j.eswa.2011.05.085 10.1016/j.compmedimag.2014.06.005 10.1109/TSG.2016.2621135 10.1108/17563780910939273 10.1007/s11042-016-4313-2 10.1016/j.eswa.2013.05.055 10.1109/34.254061 10.1016/j.ijleo.2013.06.085 10.1016/j.ijleo.2016.02.056 10.1016/j.cie.2016.12.021 10.1186/s40064-016-2064-1 10.1109/TIE.2017.2682037 10.5267/j.ijiec.2019.6.002 10.1007/s11042-019-08081-3 10.1109/ICCVW.2011.6130477 |
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| References | Dong (ref_41) 2011; 38 Wang (ref_4) 2017; 64 ref_14 ref_13 Huang (ref_33) 2014; 125 ref_12 Yan (ref_30) 2017; 76 ref_34 Ionescu (ref_8) 2016; 75 Ali (ref_38) 2016; 5 Goshtasby (ref_1) 1985; PAMI-7 Liu (ref_31) 2012; 123 Li (ref_17) 2014; 2014 ref_19 ref_39 Liu (ref_28) 2020; 121 Grailu (ref_18) 2009; 2 Antani (ref_10) 2015; 39 Nelder (ref_36) 1965; 7 Pisek (ref_7) 2015; 156 Dimitrovski (ref_11) 2015; 39 Gao (ref_15) 2020; 527 Yang (ref_20) 2019; 28 Tang (ref_26) 2020; 6 Yang (ref_6) 2015; 8 ref_25 Wang (ref_5) 2018; 9 Liu (ref_9) 2016; 172 ref_22 Wang (ref_27) 2020; 210 ref_21 ref_43 He (ref_24) 2017; 105 Zahara (ref_35) 2009; 36 ref_42 ref_40 Luo (ref_32) 2019; 78 Brunelli (ref_2) 1993; 15 ref_29 Lagarias (ref_23) 1998; 9 Cuevas (ref_16) 2013; 40 An (ref_3) 2016; 172 Li (ref_37) 2016; 127 |
| References_xml | – volume: 6 start-page: 1471 year: 2020 ident: ref_26 article-title: The Practicality of Stochastic Optimization in Imaging Inverse Problems publication-title: IEEE Trans. Comput. Imaging doi: 10.1109/TCI.2020.3032101 – volume: 7 start-page: 308 year: 1965 ident: ref_36 article-title: A Simplex Method for Function Minimization publication-title: Comput. J. doi: 10.1093/comjnl/7.4.308 – volume: 8 start-page: 273 year: 2015 ident: ref_6 article-title: An improved Bag-of-Words framework for remote sensing image retrieval in large-scale image databases publication-title: Int. J. Digit. Earth doi: 10.1080/17538947.2014.882420 – volume: 2014 start-page: 1 year: 2014 ident: ref_17 article-title: A Novel Artificial Bee Colony Algorithm Based on Internal-Feedback Strategy for Image Template Matching publication-title: Sci. World J. – volume: 28 start-page: 3061 year: 2019 ident: ref_20 article-title: Robust Semantic Template Matching Using a Superpixel Region Binary Descriptor publication-title: IEEE Trans. Image Process. doi: 10.1109/TIP.2019.2893743 – volume: 36 start-page: 3880 year: 2009 ident: ref_35 article-title: Hybrid Nelder–Mead simplex search and particle swarm optimization for constrained engineering design problems publication-title: Expert Syst. Appl. doi: 10.1016/j.eswa.2008.02.039 – volume: 75 start-page: 1301 year: 2016 ident: ref_8 article-title: Result diversification in social image retrieval: A benchmarking framework publication-title: Multimed. Tools Appl. doi: 10.1007/s11042-014-2369-4 – volume: 123 start-page: 1955 year: 2012 ident: ref_31 article-title: A chaotic quantum-behaved particle swarm optimization based on lateral inhibition for image matching publication-title: Optik doi: 10.1016/j.ijleo.2011.09.052 – volume: PAMI-7 start-page: 338 year: 1985 ident: ref_1 article-title: Template Matching in Rotated Images publication-title: IEEE Trans. Pattern Anal. Mach. Intell. doi: 10.1109/TPAMI.1985.4767663 – volume: 172 start-page: 215 year: 2016 ident: ref_3 article-title: Scalable attribute-driven face image retrieval publication-title: Neurocomputing doi: 10.1016/j.neucom.2014.09.098 – ident: ref_40 – volume: 156 start-page: 242 year: 2015 ident: ref_7 article-title: A note on suitable viewing configuration for retrieval of forest understory reflectance from multi-angle remote sensing data publication-title: Remote Sens. Environ. doi: 10.1016/j.rse.2014.09.033 – ident: ref_14 – volume: 9 start-page: 112 year: 1998 ident: ref_23 article-title: Convergence Properties of the Nelder--Mead Simplex Method in Low Dimensions publication-title: SIAM J. Optim. doi: 10.1137/S1052623496303470 – ident: ref_13 doi: 10.1109/DSP-SPE.2015.7369523 – ident: ref_22 doi: 10.1002/9780470744055 – ident: ref_21 – volume: 210 start-page: 163846 year: 2020 ident: ref_27 article-title: Parameter estimation of photovoltaic cell model with Rao-1 algorithm publication-title: Optik doi: 10.1016/j.ijleo.2019.163846 – ident: ref_43 doi: 10.1109/CVPR.2016.596 – volume: 39 start-page: 55 year: 2015 ident: ref_10 article-title: Evaluating performance of biomedical image retrieval systems—An overview of the medical image retrieval task at ImageCLEF 2004–2013 publication-title: Comput. Med. Imaging Graph. doi: 10.1016/j.compmedimag.2014.03.004 – volume: 527 start-page: 176 year: 2020 ident: ref_15 article-title: Pose-guided spatiotemporal alignment for video-based person Re-identification publication-title: Inf. Sci. doi: 10.1016/j.ins.2020.04.007 – volume: 121 start-page: 106056 year: 2020 ident: ref_28 article-title: Short-term wind speed forecasting based on the Jaya-SVM model publication-title: Int. J. Electr. Power Energy Syst. doi: 10.1016/j.ijepes.2020.106056 – volume: 172 start-page: 19 year: 2016 ident: ref_9 article-title: Projective nonnegative matrix factorization for social image retrieval publication-title: Neurocomputing doi: 10.1016/j.neucom.2014.09.094 – ident: ref_25 doi: 10.1145/3412815.3416891 – ident: ref_29 doi: 10.1109/JIOT.2021.3068379 – ident: ref_39 doi: 10.1109/CVPR.2012.6248092 – ident: ref_12 – volume: 38 start-page: 15172 year: 2011 ident: ref_41 article-title: An improved species based genetic algorithm and its application in multiple template matching for embroidered pattern inspection publication-title: Expert Syst. Appl. doi: 10.1016/j.eswa.2011.05.085 – volume: 39 start-page: 14 year: 2015 ident: ref_11 article-title: Improved medical image modality classification using a combination of visual and textual features publication-title: Comput. Med. Imaging Graph. doi: 10.1016/j.compmedimag.2014.06.005 – volume: 9 start-page: 2824 year: 2018 ident: ref_5 article-title: Wind Turbine Blade Breakage Monitoring With Deep Autoencoders publication-title: IEEE Trans. Smart Grid doi: 10.1109/TSG.2016.2621135 – volume: 2 start-page: 120 year: 2009 ident: ref_18 article-title: An improved pattern matching technique for lossy/lossless compression of binary printed Farsi and Arabic textual images publication-title: Int. J. Intell. Comput. Cybern. doi: 10.1108/17563780910939273 – volume: 76 start-page: 14951 year: 2017 ident: ref_30 article-title: An improved cultural algorithm and its application in image matching publication-title: Multimed. Tools Appl. doi: 10.1007/s11042-016-4313-2 – volume: 40 start-page: 6359 year: 2013 ident: ref_16 article-title: A novel evolutionary algorithm inspired by the states of matter for template matching publication-title: Expert Syst. Appl. doi: 10.1016/j.eswa.2013.05.055 – volume: 15 start-page: 1042 year: 1993 ident: ref_2 article-title: Face recognition: Features versus templates publication-title: IEEE Trans. Pattern Anal. Mach. Intell. doi: 10.1109/34.254061 – volume: 125 start-page: 414 year: 2014 ident: ref_33 article-title: Hybrid bio-inspired lateral inhibition and Imperialist Competitive Algorithm for complicated image matching publication-title: Optik doi: 10.1016/j.ijleo.2013.06.085 – volume: 127 start-page: 5430 year: 2016 ident: ref_37 article-title: An evolutionary approach for image retrieval based on lateral inhibition publication-title: Optik doi: 10.1016/j.ijleo.2016.02.056 – ident: ref_19 – volume: 105 start-page: 76 year: 2017 ident: ref_24 article-title: Robust fuzzy programming method for MRO problems considering location effect, dispersion effect and model uncertainty publication-title: Comput. Ind. Eng. doi: 10.1016/j.cie.2016.12.021 – volume: 5 start-page: 473 year: 2016 ident: ref_38 article-title: A hybrid cuckoo search algorithm with Nelder Mead method for solving global optimization problems publication-title: SpringerPlus doi: 10.1186/s40064-016-2064-1 – volume: 64 start-page: 7293 year: 2017 ident: ref_4 article-title: Automatic Detection of Wind Turbine Blade Surface Cracks Based on UAV-Taken Images publication-title: IEEE Trans. Ind. Electron. doi: 10.1109/TIE.2017.2682037 – ident: ref_34 doi: 10.5267/j.ijiec.2019.6.002 – volume: 78 start-page: 34277 year: 2019 ident: ref_32 article-title: Spotted hyena optimizer with lateral inhibition for image matching publication-title: Multimed. Tools Appl. doi: 10.1007/s11042-019-08081-3 – ident: ref_42 doi: 10.1109/ICCVW.2011.6130477 |
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| SubjectTerms | Algorithms computational intelligence Computing time Genetic algorithms image matching Optimization Particle swarm optimization Rao algorithm Searching Template matching |
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| Title | A Hybrid Rao-NM Algorithm for Image Template Matching |
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