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Volumn 215, Issue 9, 2010, Pages 3302-3310

A multilevel image thresholding using the honey bee mating optimization

Author keywords

Fast Otsu's method; Honey bee mating optimization; Hybrid cooperative comprehensive learning based PSO algorithm; Image thresholding; Particle swarm optimization

Indexed keywords

COMPUTATION TIME; EXHAUSTIVE SEARCH; HONEY-BEE MATING OPTIMIZATION; IMAGE THRESHOLDING; MAXIMUM ENTROPY; MULTILEVEL IMAGE THRESHOLDING; MULTIPLE THRESHOLD; OTSU'S METHOD; PSO ALGORITHMS; SEGMENTATION RESULTS; THRESHOLDING; THRESHOLDING METHODS; THRESHOLDING TECHNIQUES;

EID: 71649116007     PISSN: 00963003     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.amc.2009.10.018     Document Type: Article
Times cited : (110)

References (27)
  • 1
    • 0032117738 scopus 로고    scopus 로고
    • Threshold selection based on fuzzy c-partition entropy approach to image thresholding
    • Cheng H.D., Chen J.R., and Li J. Threshold selection based on fuzzy c-partition entropy approach to image thresholding. Pattern Recognition 31 (1998) 857-870
    • (1998) Pattern Recognition , vol.31 , pp. 857-870
    • Cheng, H.D.1    Chen, J.R.2    Li, J.3
  • 2
    • 14644420283 scopus 로고    scopus 로고
    • Infrared image segmentation with 2-D maximum entropy method based on particle swarm optimization (PSO)
    • Du F., Shi W.K., Chen L.Z., Deng Y., and Zhu A. Infrared image segmentation with 2-D maximum entropy method based on particle swarm optimization (PSO). Pattern Recognition Letters 26 (2005) 597-603
    • (2005) Pattern Recognition Letters , vol.26 , pp. 597-603
    • Du, F.1    Shi, W.K.2    Chen, L.Z.3    Deng, Y.4    Zhu, A.5
  • 3
    • 0036530363 scopus 로고    scopus 로고
    • An adaptive neuro-fuzzy system for automatic image segmentation and edge detection
    • Boskovitz V., and Guterman H. An adaptive neuro-fuzzy system for automatic image segmentation and edge detection. IEEE Transactions on Fuzzy Systems 19 (2002) 47-262
    • (2002) IEEE Transactions on Fuzzy Systems , vol.19 , pp. 47-262
    • Boskovitz, V.1    Guterman, H.2
  • 4
    • 0035498657 scopus 로고    scopus 로고
    • Color image segmentation using histogram multi-thresholding and fusion
    • Kurugollu F., Sankur B., and Harmanci A.E. Color image segmentation using histogram multi-thresholding and fusion. Image and Vision Computing 19 (2001) 915-928
    • (2001) Image and Vision Computing , vol.19 , pp. 915-928
    • Kurugollu, F.1    Sankur, B.2    Harmanci, A.E.3
  • 6
  • 8
    • 1842422015 scopus 로고    scopus 로고
    • Survey over image thresholding techniques and quantitative performance evaluation
    • Sankur B., and Sezgin M. Survey over image thresholding techniques and quantitative performance evaluation. Journal of Electronic Imaging 13 (2004) 146-165
    • (2004) Journal of Electronic Imaging , vol.13 , pp. 146-165
    • Sankur, B.1    Sezgin, M.2
  • 10
    • 34548017884 scopus 로고    scopus 로고
    • A novel image thresholding method based on Parzen window estimate
    • Wang S., Chung F.L., and Xiong F. A novel image thresholding method based on Parzen window estimate. Pattern Recognition 41 (2008) 117-129
    • (2008) Pattern Recognition , vol.41 , pp. 117-129
    • Wang, S.1    Chung, F.L.2    Xiong, F.3
  • 11
    • 17644392098 scopus 로고    scopus 로고
    • Optimal multi-thesholding using a hybrid optimization approach
    • Azhara E., Fan S.K.S., and Tsai D.M. Optimal multi-thesholding using a hybrid optimization approach. Pattern Recognition Letter 26 (2005) 1082-1095
    • (2005) Pattern Recognition Letter , vol.26 , pp. 1082-1095
    • Azhara, E.1    Fan, S.K.S.2    Tsai, D.M.3
  • 12
    • 0018306059 scopus 로고
    • A threshold selection method from gray-level histograms
    • Otsu N. A threshold selection method from gray-level histograms. IEEE Transactions on Systems Man Cybernetics SMC-9 (1979) 62-66
    • (1979) IEEE Transactions on Systems Man Cybernetics , vol.SMC-9 , pp. 62-66
    • Otsu, N.1
  • 15
    • 0022266928 scopus 로고
    • A new method for gray-level picture thresholding using the entropy of the histogram
    • Kapur J.N., Sahoo P.K., and Wong A.K.C. A new method for gray-level picture thresholding using the entropy of the histogram. Computer Vision Graphics Image Processing 29 (1985) 273-285
    • (1985) Computer Vision Graphics Image Processing , vol.29 , pp. 273-285
    • Kapur, J.N.1    Sahoo, P.K.2    Wong, A.K.C.3
  • 16
    • 0024855650 scopus 로고
    • Automatic thresholding of gray-level pictures using two-dimensional entropy
    • Abutaleb A.S. Automatic thresholding of gray-level pictures using two-dimensional entropy. Computer Vision Graphics Image Process 47 (1989) 22-32
    • (1989) Computer Vision Graphics Image Process , vol.47 , pp. 22-32
    • Abutaleb, A.S.1
  • 18
    • 36148968972 scopus 로고    scopus 로고
    • A hybrid cooperative-comprehensive learning based algorithm for image segmentation using multilevel thresholding
    • Madhubanti M., and Amitava A. A hybrid cooperative-comprehensive learning based algorithm for image segmentation using multilevel thresholding. Expert Systems with Application 34 (2008) 1341-1350
    • (2008) Expert Systems with Application , vol.34 , pp. 1341-1350
    • Madhubanti, M.1    Amitava, A.2
  • 19
    • 0027574929 scopus 로고
    • Minimum cross entropy thresholding
    • Li G.H., and Lee C.K. Minimum cross entropy thresholding. Pattern Recognition 26 (1993) 617-625
    • (1993) Pattern Recognition , vol.26 , pp. 617-625
    • Li, G.H.1    Lee, C.K.2
  • 20
    • 33846615473 scopus 로고    scopus 로고
    • Multilevel minimum cross entropy threshold selection based on particle swarm optimization
    • Yin P.Y. Multilevel minimum cross entropy threshold selection based on particle swarm optimization. Applied Mathematics and Computation 184 (2007) 503-513
    • (2007) Applied Mathematics and Computation , vol.184 , pp. 503-513
    • Yin, P.Y.1
  • 21
    • 33845987065 scopus 로고    scopus 로고
    • An improved ant colony algorithm for fuzzy clustering in image segmentation
    • Han Y.F., and Shi P.F. An improved ant colony algorithm for fuzzy clustering in image segmentation. Neurocomputing 70 (2007) 665-671
    • (2007) Neurocomputing , vol.70 , pp. 665-671
    • Han, Y.F.1    Shi, P.F.2
  • 23
    • 0034870046 scopus 로고    scopus 로고
    • Marriage in honey bee optimization (HBO): A haplometrosis polygynous swarming approach
    • H.A. Abbasss, Marriage in honey bee optimization (HBO): a haplometrosis polygynous swarming approach, in: The Congress on Evolutionary Computation (CEC001), 2001, pp. 207-214.
    • (2001) The Congress on Evolutionary Computation (CEC001) , pp. 207-214
    • Abbasss, H.A.1
  • 25
    • 65349188280 scopus 로고    scopus 로고
    • Integration of self organizing feature maps and honey bee mating optimization algorithm for market segmentation
    • Amiri B., and Fathian M. Integration of self organizing feature maps and honey bee mating optimization algorithm for market segmentation. Journal of Theoretical and Applied Information Technology (2007) 70-86
    • (2007) Journal of Theoretical and Applied Information Technology , pp. 70-86
    • Amiri, B.1    Fathian, M.2
  • 26
    • 34548479029 scopus 로고    scopus 로고
    • On the performance of artificial bee colony algorithm
    • Karaboga D., and Basturk B. On the performance of artificial bee colony algorithm. Applied Soft Computing (2008) 687-697
    • (2008) Applied Soft Computing , pp. 687-697
    • Karaboga, D.1    Basturk, B.2
  • 27
    • 36248951177 scopus 로고    scopus 로고
    • Multilevel thresholding for image segmentation through a fast statistical recursive algorithm
    • Arora S., Acharya J., Verma A., and Panigrahi P.K. Multilevel thresholding for image segmentation through a fast statistical recursive algorithm. Pattern Recognition Letters 29 (2008) 119-125
    • (2008) Pattern Recognition Letters , vol.29 , pp. 119-125
    • Arora, S.1    Acharya, J.2    Verma, A.3    Panigrahi, P.K.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.