An efficient cuckoo search algorithm based multilevel thresholding for segmentation of satellite images using different objective functions

Expert Systems with Applications

Volumn 58, Issue , 2016, Pages 184-209

  Suresh, Shilpa ^a   Lal, Shyam ^a  

^a NATIONAL INSTITUTE OF TECHNOLOGY KARNATAKA   (India)

Author keywords

Kapur 's entropy; Mantegna's method; McCulloch's method; Meta heuristic algorithms; Otsu's between class variance; Segmentation; Thresholding; Tsallis entropy

Indexed keywords

ALGORITHMS; COMPUTATIONAL EFFICIENCY; COMPUTER VISION; ENTROPY; EVOLUTIONARY ALGORITHMS; HEURISTIC ALGORITHMS; HEURISTIC METHODS; IMAGE PROCESSING; IMAGE SEGMENTATION; PARTICLE SWARM OPTIMIZATION (PSO); REMOTE SENSING; SATELLITES;

BETWEEN-CLASS VARIANCES; MANTEGNA'S METHOD; MCCULLOCH'S METHOD; META HEURISTIC ALGORITHM; THRESHOLDING; TSALLIS ENTROPIES;

OPTIMIZATION;

EID: 84971602947     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2016.03.032     Document Type: Article

References (63)

1. S. Agrawal, R. Panda, S. Bhuyan, and B. Panigrahi Tsallis entropy based optimal multilevel thresholding using cuckoo search algorithm Swarm and Evolutionary Computation 11 2013 16 30
2. B. Akay A study on particle swarm optimization and artificial bee colony algorithms for multilevel thresholding Applied Soft Computing 13 6 2013 3066 3091
3. A. Alihodzic, and M. Tuba Improved bat algorithm applied to multilevel image thresholding The Scientific World Journal 2014 2014
4. S. Arora, J. Acharya, A. Verma, and P.K. Panigrahi Multilevel thresholding for image segmentation through a fast statistical recursive algorithm Pattern Recognition Letters 29 2 2008 119 125
5. A. Bhandari, A. Kumar, and G. Singh Tsallis entropy based multilevel thresholding for colored satellite image segmentation using evolutionary algorithms Expert Systems with Applications 42 22 2015 8707 8730
6. A.K. Bhandari, A. Kumar, and G.K. Singh Modified artificial bee colony based computationally efficient multilevel thresholding for satellite image segmentation using kapurs, otsu and tsallis functions Expert Systems with Applications 42 3 2015 1573 1601
7. A.K. Bhandari, V.K. Singh, A. Kumar, and G.K. Singh Cuckoo search algorithm and wind driven optimization based study of satellite image segmentation for multilevel thresholding using kapurs entropy Expert Systems with Applications 41 7 2014 3538 3560
8. A. Brabazon, M. ONeill, and S. McGarraghy Bacterial foraging algorithms Natural computing algorithms 2015 Springer 187 199
9. I. Brajevic, and M. Tuba Cuckoo search and firefly algorithm applied to multilevel image thresholding Cuckoo search and firefly algorithm 2014 Springer 115 139
10. J.M. Chambers, C.L. Mallows, and B. Stuck A method for simulating stable random variables Journal of the american statistical association 71 354 1976 340 344
11. K. Chen, Y. Zhou, Z. Zhang, M. Dai, Y. Chao, and J. Shi Multilevel image segmentation based on an improved firefly algorithm Mathematical Problems in Engineering 2016 2016
12. C.A.C. Coello, D.A. Van Veldhuizen, and G.B. Lamont Evolutionary algorithms for solving multi-objective problems 242 2002 Springer
13. D. Corne, M. Dorigo, and F. Glover The ant colony optimization meta-heuristic New Ideas in Optimization. McGraw Hill, New York 1999
14. K. Deb, A. Pratap, S. Agarwal, and T. Meyarivan A fast and elitist multiobjective genetic algorithm: NSGA-II IEEE Transactions on Evolutionary Computation 6 2 2002 182 197
15. M. Dorigo, and M. Birattari Ant colony optimization Encyclopedia of machine learning 2010 Springer 36 39
16. M. Dorigo, M. Birattari, C. Blum, M. Clerc, T. Stützle, and A. Winfield Ant Colony Optimization and Swarm Intelligence: 6th International Conference, ANTS 2008, Brussels, Belgium, September 22-24, 2008, Proceedings 5217 2008 Springer
17. R.C. Eberhart, J. Kennedy, and et al. A new optimizer using particle swarm theory Proceedings of the sixth international symposium on micro machine and human science 1 1995 New York, NY 39 43
18. M. Gallotta Genetic algorithms: Colour image segmentation Computer Science Department, University of Cape Town, Private Bag, Rondebosch 7700 2007
19. H. Gao, W. Xu, J. Sun, and Y. Tang Multilevel thresholding for image segmentation through an improved quantum-behaved particle swarm algorithm IEEE Transactions on Instrumentation and Measurement 59 4 2010 934 946
20. P. Ghamisi, M.S. Couceiro, F.M. Martins, and J. Atli Benediktsson Multilevel image segmentation based on fractional-order darwinian particle swarm optimization Geoscience and Remote Sensing, IEEE Transactions on 52 5 2014 2382 2394
21. D.E. Goldberg, and K. Deb A comparative analysis of selection schemes used in genetic algorithms Foundations of genetic algorithms 1 1991 69 93
22. O.B. Haddad, A. Afshar, and M.A. Mariño Honey-bees mating optimization (HBMO) algorithm: a new heuristic approach for water resources optimization water resources management 20 5 2006 661 680
23. K. Hammouche, M. Diaf, and P. Siarry A comparative study of various meta-heuristic techniques applied to the multilevel thresholding problem Engineering Applications of Artificial Intelligence 23 5 2010 676 688
24. T. Hassanzadeh, H. Vojodi, and A.M.E. Moghadam An image segmentation approach based on maximum variance intra-cluster method and firefly algorithm Natural computation (icnc), 2011 seventh international conference on 3 2011 IEEE 1817 1821
25. M.J. Hibbard, E.R. Peskin, and F. Sahin FPGA implementation of particle swarm optimization for bayesian network learning Computers & Electrical Engineering 39 8 2013 2454 2468
26. A. Hore, and D. Ziou Image quality metrics: PSNR vs. SSIM Pattern recognition (icpr), 2010 20th international conference on 2010 IEEE 2366 2369
27. M.H. Horng A multilevel image thresholding using the honey bee mating optimization Applied Mathematics and Computation 215 9 2010 3302 3310
28. M.H. Horng Multilevel thresholding selection based on the artificial bee colony algorithm for image segmentation Expert Systems with Applications 38 11 2011 13785 13791
29. M.H. Horng, and T.W. Jiang Multilevel image thresholding selection based on the firefly algorithm Ubiquitous intelligence & computing and 7th international conference on autonomic & trusted computing (uic/atc), 2010 7th international conference on 2010 IEEE 58 63
30. Q. Huynh-Thu, and M. Ghanbari Scope of validity of PSNR in image/video quality assessment Electronics letters 44 13 2008 800 801
31. A.S.P. Joko Siswantoro Soft Computing Applications and Intelligent Systems 2013 Springer
32. A.R. Jordehi Enhanced leader pso (elpso): A new pso variant for solving global optimisation problems Applied Soft Computing 26 2015 401 417
33. J.N. Kapur, P.K. Sahoo, and A.K. Wong A new method for gray-level picture thresholding using the entropy of the histogram Computer vision, graphics, and image processing 29 3 1985 273 285
34. D. Karaboga, and B. Basturk On the performance of artificial bee colony (ABC) algorithm Applied soft computing 8 1 2008 687 697
35. D. Karaboga, B. Gorkemli, C. Ozturk, and N. Karaboga A comprehensive survey: artificial bee colony (ABC) algorithm and applications Artificial Intelligence Review 42 1 2014 21 57
36. Kennedy, and Eberhart Particle swarm optimization 2010 760 766
37. T. Kurban, P. Civicioglu, R. Kurban, and E. Besdok Comparison of evolutionary and swarm based computational techniques for multilevel color image thresholding Applied Soft Computing 23 2014 128 143
38. M. Leccardi Comparison of three algorithms for levy noise generation Proceedings of fifth euromech nonlinear dynamics conference 2005
39. Y. Liu, C. Mu, W. Kou, and J. Liu Modified particle swarm optimization-based multilevel thresholding for image segmentation Soft Computing 19 5 2015 1311 1327
40. R.N. Mantegna Fast, accurate algorithm for numerical simulation of levy stable stochastic processes Physical Review E 49 5 1994 4677
41. N. Otsu A threshold selection method from gray-level histogram IEEE Transactions on Systems, Man and Cybernetics 9 1 1979 62 66
42. S. Ouadfel, and S. Meshoul Bio-inspired algorithms for multilevel image thresholding International Journal of Computer Applications in Technology 49 3-4 2014 207 226
43. A. Ouyang, G. Pan, G. Yue, and J. Du Chaotic cuckoo search algorithm for high-dimensional functions Journal of Computers 9 5 2014 1282 1290
44. N.R. Pal, and S.K. Pal A review on image segmentation techniques Pattern recognition 26 9 1993 1277 1294
45. K.M. Passino Biomimicry of bacterial foraging for distributed optimization and control Control Systems, IEEE 22 3 2002 52 67
46. N. Raja, V. Rajinikanth, and K. Latha Otsu based optimal multilevel image thresholding using firefly algorithm Modelling and Simulation in Engineering 2014 2014 37
47. S.A. Romshoo, and I. Rashid Assessing the impacts of changing land cover and climate on hokersar wetland in indian himalayas Arabian Journal of Geosciences 7 1 2014 143 160
48. P.L. Rosin Unimodal thresholding Pattern recognition 34 11 2001 2083 2096
49. S. Sarkar, S. Das, and S.S. Chaudhuri Hyper-spectral image segmentation using rényi entropy based multi-level thresholding aided with differential evolution Expert Systems with Applications 50 2016 120 129
50. P. Sathya, and R. Kayalvizhi PSO-based tsallis thresholding selection procedure for image segmentation International Journal of Computer Applications 5 4 2010 39 46
51. P. Sathya, and R. Kayalvizhi Modified bacterial foraging algorithm based multilevel thresholding for image segmentation Engineering Applications of Artificial Intelligence 24 4 2011 595 615
52. H. Soneji, and R.C. Sanghvi Towards the improvement of cuckoo search algorithm Information and communication technologies (wict), 2012 world congress on 2012 IEEE 878 883
53. M. Sezgin, B. Sankur Survey over image thresholding techniques and quantitative performance evaluation Journal of Electronic Imaging 13 1 2004 146 168
54. W. Tao, H. Jin, and L. Liu Object segmentation using ant colony optimization algorithm and fuzzy entropy Pattern Recognition Letters 28 7 2007 788 796
55. W.-B. Tao, J.-W. Tian, and J. Liu Image segmentation by three-level thresholding based on maximum fuzzy entropy and genetic algorithm Pattern Recognition Letters 24 16 2003 3069 3078
56. J. Tillett, T. Rao, F. Sahin, R. Rao Darwinian particle swarm optimization Proceedings of the 2nd Indian International Conference on Artificial Intelligence 2005 1474 1487
57. W.-H. Tsai Moment-preserving thresolding: A new approach Computer Vision, Graphics, and Image Processing 29 3 1985 377 393
58. G.-G. Wang, L. Guo, H. Duan, and H. Wang A new improved firefly algorithm for global numerical optimization Journal of Computational and Theoretical Nanoscience 11 2 2014 477 485
59. L. Wang, and Y. Zhong Cuckoo search algorithm with chaotic maps Mathematical Problems in Engineering 2015 2015
60. X.S. Yang Firefly algorithms for multimodal optimization Stochastic algorithms: foundations and applications 2009 Springer 169 178
61. X.-S. Yang Nature-inspired metaheuristic algorithms 2010 Luniver press
62. X.S. Yang, and S. Deb Cuckoo search via lévy flights Nature & biologically inspired computing, 2009. nabic 2009. world congress on 2009 IEEE 210 214
63. L. Zhang, L. Zhang, X. Mou, and D. Zhang Fsim: A feature similarity index for image quality assessment Image Processing, IEEE Transactions on 20 8 2011 2378 2386