A novel chaotic symbiotic organisms search optimization in multilevel image segmentation

[1]  Provas Kumar Roy,et al.  Symbiotic Organisms Search Optimization for Multilevel Image Thresholding , 2020, Int. J. Swarm Intell. Res..

[2]  Akash Saxena,et al.  A comprehensive study of chaos embedded bridging mechanisms and crossover operators for grasshopper optimisation algorithm , 2019, Expert Syst. Appl..

[3]  Mahdi Yaghoobi,et al.  Improved invasive weed optimization algorithm (IWO) based on chaos theory for optimal design of PID controller , 2019, J. Comput. Des. Eng..

[4]  Provas Kumar Roy,et al.  Oppositional elephant herding optimization with dynamic Cauchy mutation for multilevel image thresholding , 2019, Evolutionary Intelligence.

[5]  Ashish Kumar Bhandari,et al.  A context sensitive Masi entropy for multilevel image segmentation using moth swarm algorithm , 2019, Infrared Physics & Technology.

[6]  A. Bhandari,et al.  Spatial context cross entropy function based multilevel image segmentation using multi-verse optimizer , 2019, Multimedia Tools and Applications.

[7]  Ali Kaveh,et al.  Chaos-based firefly algorithms for optimization of cyclically large-size braced steel domes with multiple frequency constraints , 2019, Computers & Structures.

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

[9]  Soumyajit Seth,et al.  Characterizing the Effects of Randomness in the Tent Map , 2018, 1808.01668.

[10]  V. Mukherjee,et al.  A novel chaos-integrated symbiotic organisms search algorithm for global optimization , 2017, Soft Computing.

[11]  Ashraf Darwish,et al.  A new chaotic multi-verse optimization algorithm for solving engineering optimization problems , 2018, J. Exp. Theor. Artif. Intell..

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

[13]  Shilpa Suresh,et al.  Multilevel thresholding based on Chaotic Darwinian Particle Swarm Optimization for segmentation of satellite images , 2017, Appl. Soft Comput..

[14]  Budi Santosa,et al.  Symbiotic organisms search and two solution representations for solving the capacitated vehicle routing problem , 2017, Appl. Soft Comput..

[15]  Nilanjan Dey,et al.  Multi-level image thresholding using Otsu and chaotic bat algorithm , 2016, Neural Computing and Applications.

[16]  H. Kahraman,et al.  Symbiotic organisms search optimization algorithm for economic/emission dispatch problem in power systems , 2018, Neural Computing and Applications.

[17]  Amir Hossein Gandomi,et al.  Chaotic cuckoo search , 2015, Soft Computing.

[18]  Abdelmalik Taleb-Ahmed,et al.  Social spiders optimization and flower pollination algorithm for multilevel image thresholding: A performance study , 2016, Expert Syst. Appl..

[19]  C. Mala,et al.  Multilevel threshold selection for image segmentation using soft computing techniques , 2016, Soft Comput..

[20]  Vivekananda Mukherjee,et al.  A novel symbiotic organisms search algorithm for optimal power flow of power system with FACTS devices , 2016 .

[21]  Longbing Cao,et al.  Automatic multilevel thresholding for image segmentation using stratified sampling and Tabu Search , 2015, Soft Comput..

[22]  Vincent F. Yu,et al.  Symbiotic Organism Search (SOS) for Solving the Capacitated Vehicle Routing Problem , 2015 .

[23]  Yi Liu,et al.  Modified particle swarm optimization-based multilevel thresholding for image segmentation , 2014, Soft Computing.

[24]  Ashish Kumar Bhandari,et al.  Modified artificial bee colony based computationally efficient multilevel thresholding for satellite image segmentation using Kapur's, Otsu and Tsallis functions , 2015, Expert Syst. Appl..

[25]  Hala Mousher Ebied,et al.  Color Image Segmentation Based on Different Color Space Models Using Automatic GrabCut , 2014, TheScientificWorldJournal.

[26]  Min-Yuan Cheng,et al.  Symbiotic Organisms Search: A new metaheuristic optimization algorithm , 2014 .

[27]  Amir Hossein Gandomi,et al.  Chaotic bat algorithm , 2014, J. Comput. Sci..

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

[29]  Xin-She Yang,et al.  Chaos-enhanced accelerated particle swarm optimization , 2013, Commun. Nonlinear Sci. Numer. Simul..

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

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

[32]  Bilal Alatas,et al.  Chaotic harmony search algorithms , 2010, Appl. Math. Comput..

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

[34]  L. Coelho,et al.  Differential evolution optimization combined with chaotic sequences for image contrast enhancement , 2009 .

[35]  Kwok-Wo Wong,et al.  An improved particle swarm optimization algorithm combined with piecewise linear chaotic map , 2007, Appl. Math. Comput..

[36]  Hai Jin,et al.  Object segmentation using ant colony optimization algorithm and fuzzy entropy , 2007, Pattern Recognit. Lett..

[37]  Mohammad Saleh Tavazoei,et al.  Comparison of different one-dimensional maps as chaotic search pattern in chaos optimization algorithms , 2007, Appl. Math. Comput..

[38]  Huanwen Tang,et al.  Application of chaos in simulated annealing , 2004 .

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

[40]  Bir Bhanu,et al.  Adaptive integrated image segmentation and object recognition , 2000, IEEE Trans. Syst. Man Cybern. Part C.

[41]  Prasanna K. Sahoo,et al.  Threshold selection using Renyi's entropy , 1997, Pattern Recognit..

[42]  Wen-Hsiang Tsai,et al.  Moment-preserving thresholding: a new approach , 1995 .

[43]  John F. Canny,et al.  A Computational Approach to Edge Detection , 1986, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[44]  Wen-Hsiang Tsai,et al.  Moment-preserving thresolding: A new approach , 1985, Comput. Vis. Graph. Image Process..

[45]  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..

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

[47]  F. Wilcoxon Individual Comparisons by Ranking Methods , 1945 .