메뉴 건너뛰기




Volumn 8, Issue 7, 2015, Pages 670-677

Comparison of clustering methods for segmenting color images

Author keywords

Clustering; FCM; Image segmentation; K means; SOM; Subtractive clustering

Indexed keywords


EID: 84928797084     PISSN: 09746846     EISSN: 09745645     Source Type: Journal    
DOI: 10.17485/ijst/2015/v8i7/62862     Document Type: Article
Times cited : (18)

References (26)
  • 3
    • 70450059723 scopus 로고    scopus 로고
    • Evolutionary image segmentation based on multiobjective clustering
    • Shirakawa S, Tomoharu N. Evolutionary image segmentation based on multiobjective clustering. Evol Comput. 2009; 2466-73. doi: 10.1109/CEC.2009.4983250
    • (2009) Evol Comput. , pp. 2466-2473
    • Shirakawa, S.1    Tomoharu, N.2
  • 4
    • 33947105982 scopus 로고    scopus 로고
    • Image segmentation by fuzzy C-means clustering algorithm with a novel penalty term
    • Yang Y, Huang S. Image segmentation by fuzzy C-means clustering algorithm with a novel penalty term. Comput Informat. 2007; 26(1):17-31.
    • (2007) Comput Informat , vol.26 , Issue.1 , pp. 17-31
    • Yang, Y.1    Huang, S.2
  • 5
    • 79951851711 scopus 로고    scopus 로고
    • Colour image segmentation using fuzzy clustering techniques and competitive neural network
    • Sowmya B, Sheelarani B. Colour image segmentation using fuzzy clustering techniques and competitive neural network. Applied Soft Computing. 2011; 11(3):3170-8.
    • (2011) Applied Soft Computing , vol.11 , Issue.3 , pp. 3170-3178
    • Sowmya, B.1    Sheelarani, B.2
  • 7
    • 34547261715 scopus 로고    scopus 로고
    • An adaptive neuro-fuzzy system for color image segmentation
    • Deshmukh K, Shinde GN. An adaptive neuro-fuzzy system for color image segmentation. J Indian Inst Sci. 2006; 86(5):493-506.
    • (2006) J Indian Inst Sci , vol.86 , Issue.5 , pp. 493-506
    • Deshmukh, K.1    Shinde, G.N.2
  • 9
    • 23044449890 scopus 로고    scopus 로고
    • Color clustering and learning for image segmentation based on neural networks
    • Jul
    • Dong G. Xie M. Color clustering and learning for image segmentation based on neural networks. IEEE Trans NeuralNetwork. 2005 Jul; 16(4):925-36.
    • (2005) IEEE Trans NeuralNetwork , vol.16 , Issue.4 , pp. 925-936
    • Dong, G.1    Xie, M.2
  • 13
    • 35148873589 scopus 로고    scopus 로고
    • Fuzzy Information Processing Society, 2007. NAFIPS '07. Annual Meeting of the North American
    • Borji A, Hamidi M, moghadam AME. CLPSO-based fuzzy color image segmentation. Fuzzy Information Processing Society, 2007. NAFIPS '07. Annual Meeting of the North American; 2007. p. 508-13.
    • (2007) CLPSO-based fuzzy color image segmentation , pp. 508-513
    • Borji, A.1    Hamidi, M.2    Moghadam, A.M.E.3
  • 17
    • 84903762626 scopus 로고    scopus 로고
    • Color image segmentation based on a modified fuzzy c-means technique and statistical features
    • Harrabi R, Ben Braiek E. Color image segmentation based on a modified fuzzy c-means technique and statistical features. International Journal of Computational Engineering Research. 2(1):120-35. ISSN: 2250-3005.
    • International Journal of Computational Engineering Research , vol.2 , Issue.1 , pp. 120-135
    • Harrabi, R.1    Ben Braiek, E.2
  • 20
    • 73849130423 scopus 로고    scopus 로고
    • Edge detection techniques for image segmentation - a survey of soft computing approaches
    • May
    • Senthilkumaran N, Rajesh R. Edge detection techniques for image segmentation - a survey of soft computing approaches. Int J Recent Trends Eng. 2009 May; 1(2):250-4.
    • (2009) Int J Recent Trends Eng. , vol.1 , Issue.2 , pp. 250-254
    • Senthilkumaran, N.1    Rajesh, R.2
  • 21
    • 85014002379 scopus 로고    scopus 로고
    • Self-organizing map-based color image segmentation with k-means clustering and saliency map
    • 2011
    • Chi D. Self-organizing map-based color image segmentation with k-means clustering and saliency map. International Scholarly Research Network ISRN Signal Processing. 2011; 2011:Article ID 393891.
    • (2011) International Scholarly Research Network ISRN Signal Processing
    • Chi, D.1
  • 22
    • 84897840244 scopus 로고    scopus 로고
    • Similarity measurement in recent biased time series databases using different clustering methods
    • Feb
    • Devi DMR, Thambidurai P. Similarity measurement in recent biased time series databases using different clustering methods. Indian Journal of Science and Technology. 2014 Feb; 7(2):189-98.
    • (2014) Indian Journal of Science and Technology , vol.7 , Issue.2 , pp. 189-198
    • Devi, D.M.R.1    Thambidurai, P.2
  • 23
    • 84896886114 scopus 로고    scopus 로고
    • Performance evaluation and comparative analysis of proposed image segmentation algorithm
    • Feb
    • Kumar R, Arthanariee AM. Performance evaluation and comparative analysis of proposed image segmentation algorithm. Indian Journal of Science and Technology. 2014 Feb; 7(1):39-47.
    • (2014) Indian Journal of Science and Technology , vol.7 , Issue.1 , pp. 39-47
    • Kumar, R.1    Arthanariee, A.M.2
  • 24
    • 84909602414 scopus 로고    scopus 로고
    • Comparative study of fuzzy c means and k means algorithm for requirements clustering
    • Jun
    • Sheshasayee A, Sharmila P. Comparative study of fuzzy c means and k means algorithm for requirements clustering. Indian Journal of Science and Technology. 2014 Jun; 7(6):853-7.
    • (2014) Indian Journal of Science and Technology , vol.7 , Issue.6 , pp. 853-857
    • Sheshasayee, A.1    Sharmila, P.2
  • 26
    • 84928778233 scopus 로고    scopus 로고
    • An image segmentation approach for fruit defect detection using k-means clustering and graph-based algorithm
    • Pham VH, Lee BR. An image segmentation approach for fruit defect detection using k-means clustering and graph-based algorithm. Vietnam J Comput Sci. 2015; 2:25-33 DOI: 10.1007/s40595-014-0028-3.
    • (2015) Vietnam J Comput Sci. , vol.2 , pp. 25-33
    • Pham, V.H.1    Lee, B.R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.