Masi Entropy for Satellite Color Image Segmentation Using Tournament-Based Lévy Multiverse Optimization Algorithm
暂无分享,去创建一个
Yann Kerr | Florian Pappenberger | Matthias Drusch | Isabel F. Trigo | Florence Rabier | Susanne Mecklenburg | Pierre Gentine | Andrew Brown | Roberto Buizza | Clément Albergel | Frédéric Chevallier | Remko Uijlenhoet | Sonia I. Seneviratne | Gianpaolo Balsamo | Emanuel Dutra | Xubin Zeng | Nils Wedi | Hannah Cloke | Carlo Buontempo | Paul A. Dirmeyer | Kristian Mogensen | Eleanor Blyth | Sujay V. Kumar | R. Iestyn Woolway | Cristina Lupu | Anna Agusti-Panareda | Gabriele Arduini | Anton Beljaars | Jean Bidlot | Nicolas Bousserez | Souhail Boussetta | Margarita Choulga | Meghan F. Cronin | Mohamed Dahoui | Patricia de Rosnay | Michael Ek | Helene T. Hewitt | Sarah Keeley | Jean Francois Mahfouf | Joe McNorton | Joaquin Munoz-Sabater | Rene Orth | Rolf H. Reichle | Ben Ruston | Irina Sandu | Steffen Tietsche | Sujay V. Kumar | S. Seneviratne | P. Dirmeyer | Y. Kerr | R. Buizza | M. Ek | F. Pappenberger | H. Cloke | X. Zeng | J. Bidlot | C. Buontempo | R. Uijlenhoet | R. Reichle | M. Drusch | C. Albergel | G. Balsamo | J. Muñoz‐Sabater | P. Rosnay | S. Mecklenburg | J. Mahfouf | E. Dutra | N. Wedi | G. Arduini | A. Beljaars | E. Blyth | N. Bousserez | S. Boussetta | Andy Brown | F. Chevallier | M. Choulga | M. Cronin | M. Dahoui | P. Gentine | H. Hewitt | S. Keeley | C. Lupu | J. McNorton | K. Mogensen | R. Orth | F. Rabier | B. Ruston | I. Sandu | S. Tietsche | I. Trigo | R. Woolway | A. Agustí-Panareda
[1] Mohammed Azmi Al-Betar,et al. Tournament-based harmony search algorithm for non-convex economic load dispatch problem , 2016, Appl. Soft Comput..
[2] Francisco Herrera,et al. A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms , 2011, Swarm Evol. Comput..
[3] Bahriye Akay,et al. A study on particle swarm optimization and artificial bee colony algorithms for multilevel thresholding , 2013, Appl. Soft Comput..
[4] Bülent Sankur,et al. Survey over image thresholding techniques and quantitative performance evaluation , 2004, J. Electronic Imaging.
[5] Leandro dos Santos Coelho,et al. Image thresholding segmentation based on a novel beta differential evolution approach , 2015, Expert Syst. Appl..
[6] Ashish Kumar Bhandari,et al. Cuckoo search algorithm and wind driven optimization based study of satellite image segmentation for multilevel thresholding using Kapur's entropy , 2014, Expert Syst. Appl..
[7] R. Sumathi,et al. Extracting tumor in MR brain and breast image with Kapur's entropy based Cuckoo Search Optimization and morphological reconstruction filters , 2018 .
[8] Ying Tan,et al. Loser-Out Tournament-Based Fireworks Algorithm for Multimodal Function Optimization , 2018, IEEE Transactions on Evolutionary Computation.
[9] Andrew K. C. Wong,et al. A new method for gray-level picture thresholding using the entropy of the histogram , 1985, Comput. Vis. Graph. Image Process..
[10] Rinita Roy,et al. Optimization of Stego Image Retaining Secret Information Using Genetic Algorithm with 8-connected PSNR , 2015, KES.
[11] El-Ghazali Talbi,et al. A Taxonomy of Hybrid Metaheuristics , 2002, J. Heuristics.
[12] Yi Liu,et al. Modified particle swarm optimization-based multilevel thresholding for image segmentation , 2014, Soft Computing.
[13] Millie Pant,et al. Multi-level image thresholding by synergetic differential evolution , 2014, Appl. Soft Comput..
[14] David Shortt,et al. Science and Ultimate Reality: Quantum Theory, Cosmology and Complexity. . , 2006 .
[15] Songfeng Lu,et al. Chaotic opposition-based grey-wolf optimization algorithm based on differential evolution and disruption operator for global optimization , 2018, Expert Syst. Appl..
[16] Ashish Kumar Bhandari,et al. An optimal color image multilevel thresholding technique using grey-level co-occurrence matrix , 2017, Expert Syst. Appl..
[17] Eneko Osaba,et al. GACE: A meta-heuristic based in the hybridization of Genetic Algorithms and Cross Entropy methods for continuous optimization , 2016, Expert Syst. Appl..
[18] Heming Jia,et al. Hybrid Multiverse Optimization Algorithm With Gravitational Search Algorithm for Multithreshold Color Image Segmentation , 2019, IEEE Access.
[19] Ashish Kumar Bhandari,et al. Tsallis entropy based multilevel thresholding for colored satellite image segmentation using evolutionary algorithms , 2015, Expert Syst. Appl..
[20] Mahmoud Elbayoumi,et al. Efficient solution of Otsu multilevel image thresholding: A comparative study , 2019, Expert Syst. Appl..
[21] Márcio Portes de Albuquerque,et al. Image thresholding using Tsallis entropy , 2004, Pattern Recognit. Lett..
[22] Nathan Seiberg,et al. From big crunch to big bang , 2002 .
[23] Hao Gao,et al. An efficient image segmentation method based on a hybrid particle swarm algorithm with learning strategy , 2016, Inf. Sci..
[24] Xu Zhao,et al. Estimates of energy consumption in China using a self-adaptive multi-verse optimizer-based support vector machine with rolling cross-validation , 2018, Energy.
[25] Ashish Kumar Bhandari,et al. A new technique for multilevel color image thresholding based on modified fuzzy entropy and Lévy flight firefly algorithm , 2017, Comput. Electr. Eng..
[26] Seyed Mohammad Mirjalili,et al. The Ant Lion Optimizer , 2015, Adv. Eng. Softw..
[27] Vijander Singh,et al. A novel nature-inspired algorithm for optimization: Squirrel search algorithm , 2019, Swarm Evol. Comput..
[28] Kusum Deep,et al. An efficient opposition based Lévy Flight Antlion optimizer for optimization problems , 2018, J. Comput. Sci..
[29] Seyed Mohammad Mirjalili,et al. Multi-Verse Optimizer: a nature-inspired algorithm for global optimization , 2015, Neural Computing and Applications.
[30] Swagatam Das,et al. Adaptive evolutionary programming with p-best mutation strategy , 2013, Swarm Evol. Comput..
[31] Hao Gao,et al. Particle swarm optimization based on intermediate disturbance strategy algorithm and its application in multi-threshold image segmentation , 2013, Inf. Sci..
[32] Majdi M. Mafarja,et al. Hybrid Whale Optimization Algorithm with simulated annealing for feature selection , 2017, Neurocomputing.
[33] Lothar Thiele,et al. A Comparison of Selection Schemes Used in Evolutionary Algorithms , 1996, Evolutionary Computation.
[34] P. R. Kumar,et al. Shannon and Fuzzy entropy based evolutionary image thresholding for image segmentation , 2017, Alexandria Engineering Journal.
[35] Akshay Joshi,et al. Cuckoo Search Optimization- A Review , 2017 .
[36] Janez Brest,et al. A hybrid differential evolution for optimal multilevel image thresholding , 2016, Expert Syst. Appl..
[37] Michal Haindl,et al. A competition in unsupervised color image segmentation , 2016, Pattern Recognit..
[38] Gonzalo Pajares,et al. Cross entropy based thresholding for magnetic resonance brain images using Crow Search Algorithm , 2017, Expert Syst. Appl..
[39] M. Masi. A step beyond Tsallis and Rényi entropies , 2005, cond-mat/0505107.
[40] Sankar K. Pal,et al. Automatic grey level thresholding through index of fuzziness and entropy , 1983, Pattern Recognit. Lett..
[41] Attia A. El-Fergany,et al. Parameter extraction of photovoltaic generating units using multi-verse optimizer , 2016 .
[42] Wen Zhang,et al. A review on weed detection using ground-based machine vision and image processing techniques , 2019, Comput. Electron. Agric..
[43] Arun Kumar Sangaiah,et al. Search space-based multi-objective optimization evolutionary algorithm , 2017, Comput. Electr. Eng..
[44] Lei Shao,et al. A hybrid DPSO with Levy flight for scheduling MIMO radar tasks , 2018, Appl. Soft Comput..
[45] David Zhang,et al. FSIM: A Feature Similarity Index for Image Quality Assessment , 2011, IEEE Transactions on Image Processing.
[46] Diego Oliva,et al. Multi-level thresholding-based grey scale image segmentation using multi-objective multi-verse optimizer , 2019, Expert Syst. Appl..
[47] R. H. Bhesdadiya,et al. A novel hybrid Particle Swarm Optimizer with multi verse optimizer for global numerical optimization and Optimal Reactive Power Dispatch problem , 2017 .
[48] Abdolah Chalechale,et al. Hybrid PSO and Genetic Algorithm for Multilevel Maximum Entropy Criterion Threshold Selection , 2013 .
[49] N. Otsu. A threshold selection method from gray level histograms , 1979 .
[50] Heming Jia,et al. A Novel Method for Multilevel Color Image Segmentation Based on Dragonfly Algorithm and Differential Evolution , 2019, IEEE Access.
[51] Xiaohui Huang,et al. A feature selection approach for hyperspectral image based on modified ant lion optimizer , 2019, Knowl. Based Syst..
[52] Ashish Kumar Bhandari,et al. A generalized Masi entropy based efficient multilevel thresholding method for color image segmentation , 2019, Multimedia Tools and Applications.
[53] Erik Valdemar Cuevas Jiménez,et al. Entropy-based imagery segmentation for breast histology using the Stochastic Fractal Search , 2018, Neurocomputing.
[54] Anil Kumar,et al. An efficient method for multilevel color image thresholding using cuckoo search algorithm based on minimum cross entropy , 2017, Appl. Soft Comput..
[55] David H. Wolpert,et al. No free lunch theorems for optimization , 1997, IEEE Trans. Evol. Comput..
[56] Xiaotao Huang,et al. Multi-Level Image Thresholding Using Modified Flower Pollination Algorithm , 2018, IEEE Access.
[57] J. Klafter,et al. The random walk's guide to anomalous diffusion: a fractional dynamics approach , 2000 .
[58] Himanshu Mittal,et al. An optimum multi-level image thresholding segmentation using non-local means 2D histogram and exponential Kbest gravitational search algorithm , 2018, Eng. Appl. Artif. Intell..
[59] Eero P. Simoncelli,et al. Image quality assessment: from error visibility to structural similarity , 2004, IEEE Transactions on Image Processing.
[60] Pankaj Kandhway,et al. A Water Cycle Algorithm-Based Multilevel Thresholding System for Color Image Segmentation Using Masi Entropy , 2018, Circuits Syst. Signal Process..