A leader Harris hawks optimization for 2-D Masi entropy-based multilevel image thresholding

[1]  Madhu S. Nair,et al.  Multilevel thresholding for image segmentation using Krill Herd Optimization algorithm , 2018, J. King Saud Univ. Comput. Inf. Sci..

[2]  Jitender Kumar Chhabra,et al.  Kapur's entropy based optimal multilevel image segmentation using Crow Search Algorithm , 2020, Appl. Soft Comput..

[3]  Haoran Li,et al.  Learning dynamic simultaneous clustering and classification via automatic differential evolution and firework algorithm , 2020, Appl. Soft Comput..

[4]  Haoran Li,et al.  Multi-objective self-organizing optimization for constrained sparse array synthesis , 2020, Swarm Evol. Comput..

[5]  Ajith Abraham,et al.  A Novel Diagonal Class Entropy-Based Multilevel Image Thresholding Using Coral Reef Optimization , 2020, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[6]  1. Nature-inspired optimization algorithm and benchmark functions: a literature survey , 2020, Computational Intelligence.

[7]  Dejun Zhang,et al.  A full migration BBO algorithm with enhanced population quality bounds for multimodal biomedical image registration , 2020, Appl. Soft Comput..

[8]  S. A. Edalatpanah,et al.  A Multilevel Image Thresholding Approach Based on Crow Search Algorithm and Otsu Method , 2020, Int. J. Comput. Intell. Appl..

[9]  Fazhi He,et al.  A dividing-based many-objective evolutionary algorithm for large-scale feature selection , 2019, Soft Computing.

[10]  Fazhi He,et al.  3D mesh simplification with feature preservation based on Whale Optimization Algorithm and Differential Evolution , 2020, Integr. Comput. Aided Eng..

[11]  Saurabh Chaudhury,et al.  Masi entropy based multilevel thresholding for image segmentation , 2019, Multimedia Tools and Applications.

[12]  Heming Jia,et al.  Modified thermal exchange optimization based multilevel thresholding for color image segmentation , 2019, Multimedia Tools and Applications.

[13]  Hossam Faris,et al.  Harris hawks optimization: Algorithm and applications , 2019, Future Gener. Comput. Syst..

[14]  Amandeep Kaur,et al.  STOA: A bio-inspired based optimization algorithm for industrial engineering problems , 2019, Eng. Appl. Artif. Intell..

[15]  فروغ شهابی,et al.  یک رهیافت آستانهگیری چندسطحی تصویر مبتنی بر الگوریتم جستجوی کلاغ و روش آتسو , 2019 .

[16]  Taher Niknam,et al.  Image segmentation using multilevel thresholding based on modified bird mating optimization , 2019, Multimedia Tools and Applications.

[17]  Yann Kerr,et al.  Masi Entropy for Satellite Color Image Segmentation Using Tournament-Based Lévy Multiverse Optimization Algorithm , 2019 .

[18]  Yao Li,et al.  Masi Entropy for Satellite Color Image Segmentation Using Tournament-Based Lévy Multiverse Optimization Algorithm , 2019, Remote. Sens..

[19]  Pankaj Kandhway,et al.  A Water Cycle Algorithm-Based Multilevel Thresholding System for Color Image Segmentation Using Masi Entropy , 2018, Circuits Syst. Signal Process..

[20]  Ashish Kumar Bhandari,et al.  A generalized Masi entropy based efficient multilevel thresholding method for color image segmentation , 2019, Multimedia Tools and Applications.

[21]  Saurabh Chaudhury,et al.  Multilevel thresholding using grey wolf optimizer for image segmentation , 2017, Expert Syst. Appl..

[22]  Aboul Ella Hassanien,et al.  Whale Optimization Algorithm and Moth-Flame Optimization for multilevel thresholding image segmentation , 2017, Expert Syst. Appl..

[23]  Jianqi Li,et al.  A novel generalized entropy and its application in image thresholding , 2017, Signal Process..

[24]  Wang Cong,et al.  A Fuzzy C-means Clustering Algorithm for Image Segmentation Using Nonlinear Weighted Local Information , 2017, J. Inf. Hiding Multim. Signal Process..

[25]  Ajith Abraham,et al.  An evolutionary gray gradient algorithm for multilevel thresholding of brain MR images using soft computing techniques , 2017, Appl. Soft Comput..

[26]  Janez Brest,et al.  A hybrid differential evolution for optimal multilevel image thresholding , 2016, Expert Syst. Appl..

[27]  Aman Mittal,et al.  A Review on Image Segmentation Techniques , 2016 .

[28]  Rutuparna Panda,et al.  A Hybrid CS–GSA Algorithm for Optimization , 2016 .

[29]  P. Sivakumar,et al.  A REVIEW ON IMAGE SEGMENTATION TECHNIQUES , 2016 .

[30]  Rutuparna Panda,et al.  A novel adaptive cuckoo search algorithm for intrinsic discriminant analysis based face recognition , 2016, Appl. Soft Comput..

[31]  Ashish Kumar Bhandari,et al.  Tsallis entropy based multilevel thresholding for colored satellite image segmentation using evolutionary algorithms , 2015, Expert Syst. Appl..

[32]  Seyed Mohammad Mirjalili,et al.  Moth-flame optimization algorithm: A novel nature-inspired heuristic paradigm , 2015, Knowl. Based Syst..

[33]  Leandro dos Santos Coelho,et al.  Image thresholding segmentation based on a novel beta differential evolution approach , 2015, Expert Syst. Appl..

[34]  Musbah J. Aqel,et al.  Survey on Image Segmentation Techniques , 2015 .

[35]  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..

[36]  Andrew Lewis,et al.  Grey Wolf Optimizer , 2014, Adv. Eng. Softw..

[37]  V. Rajinikanth,et al.  Otsu based optimal multilevel image thresholding using firefly algorithm , 2014 .

[38]  Rutuparna Panda,et al.  Edge magnitude based multilevel thresholding using Cuckoo search technique , 2013, Expert Syst. Appl..

[39]  Swagatam Das,et al.  Multilevel Image Thresholding Based on 2D Histogram and Maximum Tsallis Entropy— A Differential Evolution Approach , 2013, IEEE Transactions on Image Processing.

[40]  Bijaya K. Panigrahi,et al.  Tsallis entropy based optimal multilevel thresholding using cuckoo search algorithm , 2013, Swarm Evol. Comput..

[41]  R. Venkata Rao,et al.  An improved teaching-learning-based optimization algorithm for solving unconstrained optimization problems , 2012, Sci. Iran..

[42]  Amir Hossein Gandomi,et al.  Erratum to: Cuckoo search algorithm: a metaheuristic approach to solve structural optimization problems , 2013, Engineering with Computers.

[43]  Xin-She Yang,et al.  Flower Pollination Algorithm for Global Optimization , 2012, UCNC.

[44]  A. Gandomi,et al.  Bat algorithm: a novel approach for global engineering optimization , 2012, 1211.6663.

[45]  A. Gandomi,et al.  Mixed variable structural optimization using Firefly Algorithm , 2011 .

[46]  Ming-Huwi Horng,et al.  Multilevel minimum cross entropy threshold selection based on the firefly algorithm , 2011, Expert Syst. Appl..

[47]  Ming-Huwi Horng,et al.  Multilevel thresholding selection based on the artificial bee colony algorithm for image segmentation , 2011, Expert Syst. Appl..

[48]  David Zhang,et al.  FSIM: A Feature Similarity Index for Image Quality Assessment , 2011, IEEE Transactions on Image Processing.

[49]  R. Kayalvizhi,et al.  Modified bacterial foraging algorithm based multilevel thresholding for image segmentation , 2011, Eng. Appl. Artif. Intell..

[50]  Yudong Zhang,et al.  Optimal Multi-Level Thresholding Based on Maximum Tsallis Entropy via an Artificial Bee Colony Approach , 2011, Entropy.

[51]  Amir Hossein Gandomi,et al.  Cuckoo search algorithm: a metaheuristic approach to solve structural optimization problems , 2011, Engineering with Computers.

[52]  S. Abe,et al.  Nonextensive Statistical Mechanics and Its Applications , 2010 .

[53]  Hao Gao,et al.  Multilevel Thresholding for Image Segmentation Through an Improved Quantum-Behaved Particle Swarm Algorithm , 2010, IEEE Transactions on Instrumentation and Measurement.

[54]  Ming-Huwi Horng,et al.  Multilevel minimum cross entropy threshold selection based on the honey bee mating optimization , 2009, Expert Syst. Appl..

[55]  Dan Simon,et al.  Biogeography-Based Optimization , 2022 .

[56]  P. Barthelemy,et al.  A Lévy flight for light , 2008, Nature.

[57]  Hui Zhang,et al.  Image segmentation evaluation: A survey of unsupervised methods , 2008, Comput. Vis. Image Underst..

[58]  Xin-She Yang,et al.  Nature-Inspired Metaheuristic Algorithms , 2008 .

[59]  Patrick Siarry,et al.  A multilevel automatic thresholding method based on a genetic algorithm for a fast image segmentation , 2008, Comput. Vis. Image Underst..

[60]  Peng-Yeng Yin,et al.  Multilevel minimum cross entropy threshold selection based on particle swarm optimization , 2007, Appl. Math. Comput..

[61]  Prasanna K. Sahoo,et al.  Image thresholding using two-dimensional Tsallis-Havrda-Charvát entropy , 2006, Pattern Recognit. Lett..

[62]  Xin Yu,et al.  Automatic threshold selection based on ant colony optimization algorithm , 2005, 2005 International Conference on Neural Networks and Brain.

[63]  M. Masi A step beyond Tsallis and Rényi entropies , 2005, cond-mat/0505107.

[64]  Márcio Portes de Albuquerque,et al.  Image thresholding using Tsallis entropy , 2004, Pattern Recognit. Lett..

[65]  Gurdial Arora,et al.  A thresholding method based on two-dimensional Renyi's entropy , 2004, Pattern Recognit..

[66]  Eero P. Simoncelli,et al.  Image quality assessment: from error visibility to structural similarity , 2004, IEEE Transactions on Image Processing.

[67]  Bülent Sankur,et al.  Survey over image thresholding techniques and quantitative performance evaluation , 2004, J. Electronic Imaging.

[68]  Xavier Cufí,et al.  Yet Another Survey on Image Segmentation: Region and Boundary Information Integration , 2002, ECCV.

[69]  Pau-Choo Chung,et al.  A Fast Algorithm for Multilevel Thresholding , 2001, J. Inf. Sci. Eng..

[70]  Yi-Ping Hung,et al.  Three-dimensional ego-motion estimation from motion fields observed with multiple cameras , 2001, Pattern Recognit..

[71]  Jitendra Malik,et al.  A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.

[72]  Constantino Tsallis,et al.  I. Nonextensive Statistical Mechanics and Thermodynamics: Historical Background and Present Status , 2001 .

[73]  阿部 純義,et al.  Nonextensive statistical mechanics and its applications , 2001 .

[74]  N. Pavesic,et al.  Gray level thresholding using the Havrda and Charvat entropy , 2000, 2000 10th Mediterranean Electrotechnical Conference. Information Technology and Electrotechnology for the Mediterranean Countries. Proceedings. MeleCon 2000 (Cat. No.00CH37099).

[75]  Xin Yao,et al.  Evolutionary programming made faster , 1999, IEEE Trans. Evol. Comput..

[76]  Ling-Hwei Chen,et al.  A fast iterative scheme for multilevel thresholding methods , 1997, Signal Process..

[77]  Peng-Yeng Yin,et al.  A new method for multilevel thresholding using symmetry and duality of the histogram , 1994, Proceedings of ICSIPNN '94. International Conference on Speech, Image Processing and Neural Networks.

[78]  Ling-Hwei Chen,et al.  New method for multilevel thresholding using the symmetry and duality of the histogram , 1993, J. Electronic Imaging.

[79]  Sankar K. Pal,et al.  A review on image segmentation techniques , 1993, Pattern Recognit..

[80]  Liu Jianzhuang,et al.  Automatic thresholding of gray-level pictures using two-dimension Otsu method , 1991, China., 1991 International Conference on Circuits and Systems.

[81]  C. Tsallis Possible generalization of Boltzmann-Gibbs statistics , 1988 .

[82]  P.K Sahoo,et al.  A survey of thresholding techniques , 1988, Comput. Vis. Graph. Image Process..

[83]  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..

[84]  King-Sun Fu,et al.  A survey on image segmentation , 1981, Pattern Recognit..

[85]  N. Otsu A threshold selection method from gray level histograms , 1979 .

[86]  A. Rényi On Measures of Entropy and Information , 1961 .

[87]  J. Neyman Contributions to the theory of statistics , 1956 .