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Volumn 19, Issue 5, 2015, Pages 1311-1327

Modified particle swarm optimization-based multilevel thresholding for image segmentation

Author keywords

Image segmentation; Modified particle swarm optimization (MPSO); Multilevel thresholding; Otsu s function; Particle swarm optimization (PSO)

Indexed keywords

GENETIC ALGORITHMS; IMAGE SEGMENTATION; POPULATION STATISTICS;

EID: 84925289084     PISSN: 14327643     EISSN: 14337479     Source Type: Journal    
DOI: 10.1007/s00500-014-1345-2     Document Type: Article
Times cited : (93)

References (35)
  • 1
    • 0030650175 scopus 로고    scopus 로고
    • The performance evaluation of thresholding algorithms for optimal character recognition. In: IEEE proceedings international conference document analysis and recognition, Germany
    • Abak AT, Baris U, Sankur B (1997) The performance evaluation of thresholding algorithms for optimal character recognition. In: IEEE proceedings international conference document analysis and recognition, Germany, pp 697–700
    • (1997) pp 697–700
    • Abak, A.T.1    Baris, U.2    Sankur, B.3
  • 2
    • 49049095695 scopus 로고    scopus 로고
    • Rough particle swarm optimization and its applications in data mining
    • Alatas B, Akin E (2008) Rough particle swarm optimization and its applications in data mining. Soft Comput 12:1205–1218
    • (2008) Soft Comput , vol.12 , pp. 1205-1218
    • Alatas, B.1    Akin, E.2
  • 3
    • 80053572786 scopus 로고    scopus 로고
    • An evolutionary framework using particle swarm optimization for classification method PROAFTN
    • Al-Obeidat F, Belacel N, Carretero JA, Mahanti P (2011) An evolutionary framework using particle swarm optimization for classification method PROAFTN. Appl Soft Comput 11:4971–4980
    • (2011) Appl Soft Comput , vol.11 , pp. 4971-4980
    • Al-Obeidat, F.1    Belacel, N.2    Carretero, J.A.3    Mahanti, P.4
  • 4
    • 27844579387 scopus 로고    scopus 로고
    • Graser A (2005) Content based threshold adaptation for image processing in industrial application
    • Budapest, Hungary:
    • Alteanu D, Ristic D, Graser A (2005) Content based threshold adaptation for image processing in industrial application. In: International conference on control and automation, Budapest, Hungary, pp 1022–1027
    • International conference on control and automation , pp. 1022-1027
    • Alteanu, D.1    Ristic, D.2
  • 5
    • 0031987383 scopus 로고    scopus 로고
    • Fully automatic segmentation of the brain in MRI
    • Atkins MS, Mackiewich BT (1998) Fully automatic segmentation of the brain in MRI. IEEE Trans Med Imaging 17(1):98–107
    • (1998) IEEE Trans Med Imaging , vol.17 , Issue.1 , pp. 98-107
    • Atkins, M.S.1    Mackiewich, B.T.2
  • 6
    • 0029322683 scopus 로고
    • Minimum spatial entropy threshold selection
    • Brink AD (1995) Minimum spatial entropy threshold selection. IEE Proc Vis Image Signal Process 142:128–132
    • (1995) IEE Proc Vis Image Signal Process , vol.142 , pp. 128-132
    • Brink, A.D.1
  • 7
    • 0032117738 scopus 로고    scopus 로고
    • Threshold selection based on fuzzy c-partition entropy approach
    • Cheng HD, Chen J, Li J (1998) Threshold selection based on fuzzy c-partition entropy approach. Pattern Recognit 31:857–870
    • (1998) Pattern Recognit , vol.31 , pp. 857-870
    • Cheng, H.D.1    Chen, J.2    Li, J.3
  • 8
    • 4744339883 scopus 로고    scopus 로고
    • Fast video segmentation algorithm with shadow cancellation, global motion compensation, and adaptive threshold techniques
    • Chien SY, Huang YW, Hsieh BY, Ma SY, Chen LG (2004) Fast video segmentation algorithm with shadow cancellation, global motion compensation, and adaptive threshold techniques. IEEE Trans Multimed 6(5):732–748
    • (2004) IEEE Trans Multimed , vol.6 , Issue.5 , pp. 732-748
    • Chien, S.Y.1    Huang, Y.W.2    Hsieh, B.Y.3    Ma, S.Y.4    Chen, L.G.5
  • 9
    • 0034863568 scopus 로고    scopus 로고
    • Particle swarm optimization: Developments, applications and resources
    • Congress on evolutionary computation. Seoul, Korea:
    • Eberhart RC, Shi Y (2001) Particle swarm optimization: Developments, applications and resources. In: Proceedings of the 2001 Congress on evolutionary computation. Seoul, Korea, pp 81–86
    • (2001) Proceedings of the , vol.2001 , pp. 81-86
    • Eberhart, R.C.1    Shi, Y.2
  • 10
    • 0024163358 scopus 로고
    • Multilevel thresholding using edge matching
    • Hertz L, Schafer RW (1988) Multilevel thresholding using edge matching. Comput Vis Graph Image Process 44(3):279–295
    • (1988) Comput Vis Graph Image Process , vol.44 , Issue.3 , pp. 279-295
    • Hertz, L.1    Schafer, R.W.2
  • 11
    • 41149174625 scopus 로고    scopus 로고
    • OPSO: Orthogonal particle swarm optimization and its application to task assignment problems
    • Ho S-Y, Lin H-S, Liauh W-H, Ho S-J (2008) OPSO: Orthogonal particle swarm optimization and its application to task assignment problems. IEEE Trans Syst Man Cybern Part A Syst Hum 38(2):288–298
    • (2008) IEEE Trans Syst Man Cybern Part A Syst Hum , vol.38 , Issue.2 , pp. 288-298
    • Ho, S.-Y.1    Lin, H.-S.2    Liauh, W.-H.3    Ho, S.-J.4
  • 12
    • 79959937272 scopus 로고    scopus 로고
    • Multilevel thresholding selection based on the artificial bee colony algorithm for image segmentation. Expert Syst Appl
    • Horng M-H (2011) Multilevel thresholding selection based on the artificial bee colony algorithm for image segmentation. Expert Syst Appl. doi:10.1016/j.eswa.2011.04.180
    • (2011) doi:10.1016/j.eswa.2011.04.180
    • Horng, M.-H.1
  • 13
    • 0003637791 scopus 로고
    • A genetic algorithm for function optimization: a Matlab implementation
    • North Carolina State University, Raleigh, NC:
    • Houck CR, Joines JA, Kay MG (1995) A genetic algorithm for function optimization: a Matlab implementation. Technical Report: NCSU-IE-TR-95-09. North Carolina State University, Raleigh, NC
    • (1995) Technical Report: NCSU-IE-TR-95-09
    • Houck, C.R.1    Joines, J.A.2    Kay, M.G.3
  • 14
    • 0022266928 scopus 로고
    • A new method for gray-level picture thresholding using the entropy of the histogram
    • Kapur JN, Sahoo PK, Wong AKC (1985) A new method for gray-level picture thresholding using the entropy of the histogram. Comput Vis Graph Image Process 29(3):273–285
    • (1985) Comput Vis Graph Image Process , vol.29 , Issue.3 , pp. 273-285
    • Kapur, J.N.1    Sahoo, P.K.2    Wong, A.K.C.3
  • 18
    • 0002535812 scopus 로고
    • Fuzzy entropy threshold approach to breast cancer detection
    • Li X, Zhao Z, Cheng HD (1995) Fuzzy entropy threshold approach to breast cancer detection. Inf Sci 4:49–56
    • (1995) Inf Sci , vol.4 , pp. 49-56
    • Li, X.1    Zhao, Z.2    Cheng, H.D.3
  • 19
    • 45749096693 scopus 로고    scopus 로고
    • Gene selection using hybrid particle swarm optimization and genetic algorithm
    • Li S, Wu X, Tan M (2008) Gene selection using hybrid particle swarm optimization and genetic algorithm. Soft Comput 12:1039–1048
    • (2008) Soft Comput , vol.12 , pp. 1039-1048
    • Li, S.1    Wu, X.2    Tan, M.3
  • 20
    • 50149086082 scopus 로고    scopus 로고
    • Solving shortest path problem using particle swarm optimization
    • Mohemmed AW, Sahoo NC, Geok TK (2008) Solving shortest path problem using particle swarm optimization. Appl Soft Comput 8:1643–1653
    • (2008) Appl Soft Comput , vol.8 , pp. 1643-1653
    • Mohemmed, A.W.1    Sahoo, N.C.2    Geok, T.K.3
  • 21
    • 0018306059 scopus 로고
    • A threshold selection method from gray level histograms
    • Otsu N (1979) A threshold selection method from gray level histograms. IEEE Trans Syst Man Cybern SMC-9:62–66
    • (1979) IEEE Trans Syst Man Cybern SMC-9 , pp. 62-66
    • Otsu, N.1
  • 22
    • 0027658896 scopus 로고
    • A review on image segmentation techniques
    • Pal NR, Pal SK (1993) A review on image segmentation techniques. Pattern Recognit 26(9):1277–1294
    • (1993) Pattern Recognit , vol.26 , Issue.9 , pp. 1277-1294
    • Pal, N.R.1    Pal, S.K.2
  • 23
    • 0029669198 scopus 로고    scopus 로고
    • Digital image thresholding based on topological stable state
    • Pikaz A, Averbuch A (1996) Digital image thresholding based on topological stable state. Pattern Recognit 29(5):829–843
    • (1996) Pattern Recognit , vol.29 , Issue.5 , pp. 829-843
    • Pikaz, A.1    Averbuch, A.2
  • 24
    • 0035393651 scopus 로고    scopus 로고
    • Optimum image thresholding via class uncertainty and region homogeneity
    • Saha PK, Udupa JK (2001) Optimum image thresholding via class uncertainty and region homogeneity. IEEE Trans Pattern Anal Mach Intell 23:689–706
    • (2001) IEEE Trans Pattern Anal Mach Intell , vol.23 , pp. 689-706
    • Saha, P.K.1    Udupa, J.K.2
  • 26
    • 80052031412 scopus 로고    scopus 로고
    • Optimal multilevel thresholding using bacterial foraging algorithm. Expert Syst Appl
    • Sathya PD, Kayalvizhi R (2011a) Optimal multilevel thresholding using bacterial foraging algorithm. Expert Syst Appl. doi:10.1016/j.eswa.2011.06.004
    • (2011) doi:10.1016/j.eswa.2011.06.004
    • Sathya, P.D.1    Kayalvizhi, R.2
  • 27
    • 79953661326 scopus 로고    scopus 로고
    • Modified bacterial foraging algorithm based multilevel thresholding for image segmentation
    • Sathya PD, Kayalvizhi R (2011b) Modified bacterial foraging algorithm based multilevel thresholding for image segmentation. Eng Appl Artif Intell 24:595–615
    • (2011) Eng Appl Artif Intell , vol.24 , pp. 595-615
    • Sathya, P.D.1    Kayalvizhi, R.2
  • 28
    • 1842422015 scopus 로고    scopus 로고
    • Survey over image thresholding techniques and quantitative performance evaluation
    • Sezgin M, Sankur B (2004) Survey over image thresholding techniques and quantitative performance evaluation. J Electron Imaging 13(1):146–165
    • (2004) J Electron Imaging , vol.13 , Issue.1 , pp. 146-165
    • Sezgin, M.1    Sankur, B.2
  • 29
    • 0031700696 scopus 로고    scopus 로고
    • A modified particle swarm optimizer. In: Proceedings of the IEEE world Congress on computational intelligence
    • Shi Y, Eberhart RC (1998) A modified particle swarm optimizer. In: Proceedings of the IEEE world Congress on computational intelligence, pp 69–73
    • (1998) pp 69–73
    • Shi, Y.1    Eberhart, R.C.2
  • 30
    • 84896721435 scopus 로고    scopus 로고
    • Empirical study of particle swarm optimization. In: Proceedings of the IEEE Congress on evolutionary computation
    • Shi Y, Eberhart RC (1999) Empirical study of particle swarm optimization. In: Proceedings of the IEEE Congress on evolutionary computation, pp 1945–1950
    • (1999) pp 1945–1950
    • Shi, Y.1    Eberhart, R.C.2
  • 32
    • 78650005378 scopus 로고    scopus 로고
    • Fuzzy logic for parameter tuning in evolutionary computation and bio-inspired methods
    • Valdez F, Melin P, Castillo O (2010) Fuzzy logic for parameter tuning in evolutionary computation and bio-inspired methods. MICAI 2:465–474
    • (2010) MICAI , vol.2 , pp. 465-474
    • Valdez, F.1    Melin, P.2    Castillo, O.3
  • 33
    • 78751621343 scopus 로고    scopus 로고
    • An improved evolutionary method with fuzzy logic for combining particle swarm optimization and genetic algorithms
    • Valdez F, Melin P, Castillo O (2011) An improved evolutionary method with fuzzy logic for combining particle swarm optimization and genetic algorithms. Appl Soft Comput 11(2):2625–2632
    • (2011) Appl Soft Comput , vol.11 , Issue.2 , pp. 2625-2632
    • Valdez, F.1    Melin, P.2    Castillo, O.3
  • 34
    • 0023698106 scopus 로고
    • On minimum error thresholding and its implementations
    • Ye Q, Danielsson P (1988) On minimum error thresholding and its implementations. Pattern Recognit Lett 7:201–206
    • (1988) Pattern Recognit Lett , vol.7 , pp. 201-206
    • Ye, Q.1    Danielsson, P.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.