Cuckoo search algorithm and wind driven optimization based study of satellite image segmentation for multilevel thresholding using Kapur's entropy

Expert Systems with Applications

Volumn 41, Issue 7, 2014, Pages 3538-3560

  Bhandari, Ashish Kumar ^a   Singh, Vineet Kumar ^a   Kumar, Anil ^a   Singh, Girish Kumar ^b,c  

^a PDPM INDIAN INSTITUTE OF INFORMATION TECHNOLOGY   (India)

^b INDIAN INSTITUTE OF TECHNOLOGY ROORKEE   (India)

^c UNIVERSITY OF MALAYA   (Malaysia)

Author keywords

Cuckoo search algorithm; Image segmentation; Kapur's entropy; Multilevel thresholding; Particle swarm optimization; Swarm intelligence; Wind driven optimization

Indexed keywords

BILEVEL THRESHOLDING; CORRELATION FUNCTION; CUCKOO SEARCH ALGORITHMS; GLOBAL OPTIMIZATION ALGORITHM; MULTILEVEL THRESHOLDING; MULTILEVEL THRESHOLDING METHOD; OBJECTIVE FUNCTIONS; SWARM INTELLIGENCE;

ARTIFICIAL INTELLIGENCE; GLOBAL OPTIMIZATION; IMAGE SEGMENTATION; LEARNING ALGORITHMS; PARTICLE SWARM OPTIMIZATION (PSO);

ENTROPY;

EID: 84892371306     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2013.10.059     Document Type: Article

References (67)

1. S. Agrawal, R. Panda, S. Bhuyan, and B.K. Panigrahi Tsallis entropy based optimal multilevel thresholding using cuckoo search algorithm Swarm and Evolutionary Computation 11 2013 16 30
2. Ahrens, C. D. (2007). Meteorology today: an introduction to weather, climate, and the environment, Cengage, Learning.
3. B. Akay A study on particle swarm optimization and artificial bee colony algorithms for multilevel thresholding Applied Soft Computing 13 6 2013 3066 3091
4. Bayraktar, Z., Komurcu, M., & Werner, D. H. (2010). Wind driven optimization (WDO): A novel nature-inspired optimization algorithm and its application to electromagnetics. In Proceeding IEEE international symposium on antennas and propagation society (APSURSI) (pp. 1-4).
5. Bayraktar, Z., Komurcu, M., Jiang, Z. H., Werner, D. H., & Werner, P. L. (2011). Stub-loaded inverted-F antenna synthesis via wind driven optimization. In Proceeding IEEE international symposium on antennas and propagation (APSURSI) (pp. 2920-2923).
6. Z. Bayraktar, M. Komurcu, J. Bossard, and D. Werner The wind driven optimization technique and its application in electromagnetics IEEE Transactions on Antennas and Propagation 61 5 2013 2745 2757
7. Z. Bayraktar, J.P. Turpin, and D.H. Werner Nature-inspired optimization of high-impedance metasurfaces with ultra-small interwoven unit cells IEEE Antennas and Wireless Propagation Letters 10 2011 1563 1566
8. A.K. Bhandari, A. Kumar, and P.K. Padhy Enhancement of low contrast satellite images using discrete cosine transform and singular value decomposition World Academy of Science, Engineering and Technology 55 2011 35 41
9. P. Civicioglu, and E. Besdok A conceptual comparison of the cuckoo-search, particle swarm optimization, differential evolution and artificial bee colony algorithms Artificial Intelligence Review 2013 1 32
10. E. Cuevas, F. Sencion, D. Zaldivar, M. Perez-Cisneros, and H. Sossa A multi-threshold segmentation approach based on artificial bee colony optimization Applied Intelligence 37 3 2012 321 336
11. E. Cuevas, F. Sención-Echauri, D. Zaldivar, and M. Pérez Image segmentation using artificial Bee colony optimization Handbook of optimization Intelligent systems reference library Vol. 38 2013 Springer Berlin Heidelberg 965 990
12. A. Dirami, K. Hammouchea, M. Diaf, and P. Siarry Fast multilevel thresholding for image segmentation through a multiphase level set method Signal Processing 93 2013 139 153
13. Eberhart, R. C., & Shi, Y. (2001). Particle swarm optimization: developments, applications and resources. In Proceeding IEEE international conference on evolutionary computation (Vol. 1, pp. 81-86). (Pubitemid 32806322)
14. A.H. Gandomi, X.S. Yang, and A.H. Alavi Cuckoo search algorithm: a metaheuristic approach to solve structural optimization problems Engineering with Computers 29 1 2013 17 35
15. A.H. Gandomi, X.S. Yang, S. Talatahari, and A.H. Alavi Firefly algorithm with chaos Communications in Nonlinear Science and Numerical Simulation 18 1 2013 89 98
16. A.H. Gandomi, X.S. Yang, S. Talatahari, and S. Deb Coupled eagle strategy and differential evolution for unconstrained and constrained global optimization Computers & Mathematics with Applications 63 1 2012 191 200
17. P. Ghamisi, M.S. Couceiro, J.A. Benediktsson, and N.M. Ferreira An efficient method for segmentation of images based on fractional calculus and natural selection Expert Systems with Applications 39 16 2012 12407 12417
18. P. Ghamisi, M.S. Couceiro, F.M. Martins, and J.A. Benediktsson Multilevel image segmentation based on fractional-order Darwinian particle swarm optimization IEEE Transactions on Geoscience and Remote Sensing 2013 1 13
19. K. Hammouche, M. Diaf, and P. Siarry A multilevel automatic thresholding method based on a genetic algorithm for a fast image segmentation Computer Vision and Image Understanding 109 2 2008 163 175
20. 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
21. R.L. Haupt, and S.E. Haupt Practical genetic algorithms second ed. 2004 John Wiley & Sons New Jersey
22. M.-H. Horng Multilevel minimum cross entropy threshold selection based on the honey bee mating optimization Expert Systems with Applications 37 2010 4580 4592
23. 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
24. M.H. Horng Multilevel minimum cross entropy image thresholding using artificial bee colony algorithm TELKOMNIKA Indonesian Journal of Electrical Engineering 11 9 2013 5229 5236
25. M.-H. Horng, and T.-W. Jiang Multilevel image thresholding selection using the artificial bee colony algorithm Artificial Intelligence and Computational Intelligence 6320 2010 318 325
26. .
27. D.Y. Huang, and C.H. Wang Optimal multi-level thresholding using a two-stage Otsu optimization approach Pattern Recognition Letters 30 3 2009 275 284
28. J.N. Kapur, P.K. Sahoo, and A.K.C. Wong A new method for gray-level picture thresholding using the entropy of the histogram Computer Vision Graphics Image Processing 29 1985 273 285 (Pubitemid 15510905)
29. Kennedy, J., & Eberhart, R. C. (1995). Particle swarm optimization. In IEEE international conference on neural networks (Vol. 4, 1942-1948).
30. J. Kittler, and J. Illingworth Minimum error thresholding Pattern Recognition 19 1986 41 47
31. A. Kumar, A.K. Bhandari, and P. Padhy Improved normalised difference vegetation index method based on discrete cosine transform and singular value decomposition for satellite image processing IET Signal Processing 6 7 2012 617 625
32. S. Kumar, P. Kumar, T.K. Sharma, and M. Pant Bi-level thresholding using PSO, artificial Bee colony and MRLDE embedded with Otsu method Memetic Computing 2013 1 12
33. P.S. Liao, T.S. Chen, and P.C. Chung A fast algorithm for multilevel thresholding Journal of Information Science and Engineering 17 5 2001 713 727
34. P.-S. Liao, P.-C. Chung, and T.-S. Chen A fast algorithm for multilevel thresholding Journal of Information Science and Engineering 17 2001 713 727 (Pubitemid 32993947)
35. Z. Lin, Z. Lei, M. Xuanqin, and Z. David Zhang FSIM: A feature similarity index for image quality assessment IEEE Transactions on Image Processing 20 8 2011 2378 2386
36. M. Maitra, and A. Chatterjee A hybrid cooperative-comprehensive learning based PSO algorithm for image segmentation using multilevel thresholding Expert Systems with Applications 34 2008 1341 1350 (Pubitemid 350117503)
37. S. Manikandan, K. Ramar, M.W. Iruthayarajan, and K.G. Srinivasagan Multilevel thresholding for segmentation of medical brain images using real coded genetic algorithm Measurement 47 2014 558 568
38. P. Melo-Pinto, P. Couto, H. Bustince, E. Barrenechea, M. Pagola, and J. Fernandez Image segmentation using Atanassov's intuitionistic fuzzy sets Expert Systems with Applications 40 1 2013 15 26
39. N. Otsu A threshold selection method from gray-level histograms IEEE Transactions on Systems Man and Cybernetics SMC 9 1 1979 62 66 (Pubitemid 9413341)
40. R. Panda, S. Agrawal, and S. Bhuyan Edge magnitude based multilevel thresholding using cuckoo search technique Expert Systems with Applications 40 18 2013 7617 7628
41. R.B. Payne, M.D. Sorenson, and K. Klitz The cuckoos Vol. 15 2005 Oxford University Press
42. B. Penga, L. Zhang, and D. Zhang A survey of graph theoretical approaches to image segmentation Pattern Recognition 46 3 2013 1020 1038
43. R. Rajabioun Cuckoo optimization algorithm Applied Soft Computing 11 8 2011 5508 5518
44. H. Riehl Introduction to the atmosphere 1978 McGraw Hill
45. J. Robinson, and Y. Rahmat-Samii Particle swarm optimization in electromagnetics IEEE Transactions Antennas Propagation 52 2 2004 397 407
46. P.D. Sathya, and R. Kayalvizhi Optimum multi level image thresholding based on Tsallis entropy method with bacterial foraging algorithm International Journal of Computer Science 7 5 2010 336 343
47. P.D. Sathya, and R. Kayalvizhi A new multilevel thresholding method using swarm intelligence algorithm for image segmentation Journal of Intelligent Learning Systems and Applications 2 2010 126 138
48. P.D. Sathya, and R. Kayalvizhi Modified bacterial foraging algorithm based multilevel thresholding for image segmentation Expert Systems with Applications 24 2011 595 615
49. P.D. Sathya, and R. Kayalvizhi Optimal multilevel thresholding using bacterial foraging algorithm Expert Systems with Applications 38 12 2011 15549 15564
50. P.D. Sathya, and R. Kayalvizhi Optimal segmentation of brain MRI based on adaptive bacterial foraging algorithm Neurocomputing 74 14-15 2011 2299 2313
51. M. Sezgin, and B. Sankur Survey over image thresholding techniques and quantitative performance evaluation Journal of Electronic Imaging 13 1 2004 146 165
52. V. Soni, A.K. Bhandari, A. Kumar, and G.K. Singh Improved sub-band adaptive thresholding function for denoising of satellite image based on evolutionary algorithms IET Signal Processing 7 8 2013 720 730
53. 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 (Pubitemid 46273760)
54. 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 (Pubitemid 37293334)
55. Thompson, R. D. (2002). Atmospheric processes and systems, Routledge Chicago.
56. W. Tsai Moment-preserving thresholding: A new approach Computer Vision Graphics and Image Processing 29 1985 377 393
57. J.M. Wallace, and P.V. Hobbs Atmospheric science: An introductory survey Vol. 92 2006 Academic press
58. S. Walton, O. Hassan, K. Morgan, and M.R. Brown Modified cuckoo search: A new gradient free optimization algorithm Chaos, Solitons & Fractals 44 9 2011 710 718
59. J.H. Xue, and D.M. Titterington Median-based image thresholding Image and Vision Computing 29 9 2011 631 637
60. X.S. Yang Nature-inspired metaheuristic algorithms 2010 Luniver Press
61. Yang, X. S., & Deb, S. (2009). Cuckoo search via levey flights. In Proceedings of the World congress on nature and biologically inspired computing (Vol. 4, pp. 210-214). NABIC: Coimbatore.
62. X.S. Yang, and S. Deb Engineering optimization by cuckoo search International Journal of Mathematical Modelling & Numerical Optimization 1 4 2010 330 343
63. Ye, Z., Zheng, Z., Yu, X., & Ning, X. (2005). Automatic threshold selection based on ant colony optimization algorithm. In Proceeding IEEE international conference on neural networks and brain (Vol. 2, pp. 728-732). (Pubitemid 46289058)
64. P-Y. Yin A fast scheme for multilevel thresholding using genetic algorithms Signal Processing 72 1999 85 95
65. P.Y. Yin Multilevel minimum cross entropy threshold selection based on particle swarm optimization Applied Mathematics and Computation 184 2 2007 503 513
66. Y. Zhang, and L. Wu Optimal multi-level thresholding based on maximum Tsallis entropy via an artificial bee colony approach Entropy 13 2011 841 859
67. W. Zhou, C.B. Alan, S.R. Hamid, and S.P. Eero Image quality assessment: From error visibility to structural similarity IEEE Transactions on Image Processing 13 4 2004 600 612