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Volumn 5, Issue , 2005, Pages 3052-3057

Color image segmentation using fuzzy min-max neural networks

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; FUZZY SETS; IMAGE SEGMENTATION; NEURAL NETWORKS; OBJECT RECOGNITION; REAL TIME SYSTEMS;

EID: 33750131000     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2005.1556412     Document Type: Conference Paper
Times cited : (9)

References (14)
  • 1
    • 0035546355 scopus 로고    scopus 로고
    • Color image segmentation: Advances and prospects
    • H.D. Cheng. X.H. Jiang, Y. Sun and J. Wang, "Color image segmentation: advances and prospects," Pattern Recognition vol. 34, pages 2259-2281, 2001.
    • (2001) Pattern Recognition , vol.34 , pp. 2259-2281
    • Cheng, H.D.1    Jiang, X.H.2    Sun, Y.3    Wang, J.4
  • 3
    • 0026927202 scopus 로고
    • Fuzzy min-max neural networks-part I: Classification
    • P.K. Simpson, "Fuzzy Min-Max Neural Networks-Part I : Classification," IEEE Trans. Neural Networks, Vol. 3, No. 5, pp. 776-786, 1992.
    • (1992) IEEE Trans. Neural Networks , vol.3 , Issue.5 , pp. 776-786
    • Simpson, P.K.1
  • 4
    • 0027542561 scopus 로고
    • Fuzzy min-max neural networks-part 2: Clustering
    • P.K. Simpson, "Fuzzy Min-Max Neural Networks-Part 2: Clustering," IEEE Trans. Fuzzy Systems, Vol. 1, No. 1, pp. 32-45, 1993.
    • (1993) IEEE Trans. Fuzzy Systems , vol.1 , Issue.1 , pp. 32-45
    • Simpson, P.K.1
  • 5
    • 0034187078 scopus 로고    scopus 로고
    • General fuzzy min-max neural networks for clustering and classification
    • B. Gabris and A. Bargiela, "General Fuzzy Min-Max Neural Networks for Clustering and Classification," IEEE Tran. on Neural Networks, vol. 11, no. 3, pp. 769-783, 2000.
    • (2000) IEEE Tran. on Neural Networks , vol.11 , Issue.3 , pp. 769-783
    • Gabris, B.1    Bargiela, A.2
  • 6
    • 18144416549 scopus 로고    scopus 로고
    • Fuzzy min-max neural network for image segmentation
    • September 26-30. Research Triangle Park, North Carolina USA. Association for Intelligence Machinery, Durham, NC, USA
    • P.A. Estévez, G.A. Ruz, and C.A. Perez. "Fuzzy min-max neural network for image segmentation," In: Proc. of the 7th Joint Conf. on Information Sciences (JCIS 2003), September 26-30. Research Triangle Park, North Carolina USA. Association for Intelligence Machinery, Durham, NC, USA. pp. 655-659, 2003.
    • (2003) Proc. of the 7th Joint Conf. on Information Sciences (JCIS 2003) , pp. 655-659
    • Estévez, P.A.1    Ruz, G.A.2    Perez, C.A.3
  • 10
    • 0242507736 scopus 로고    scopus 로고
    • Image segmentation algorithms applied to wood defect detection
    • 2003
    • J.W. Funck, Y. Zhong, D.A. Butler, C.C. Brunner and J. P. Forrer. 2003, "Image segmentation algorithms applied to wood defect detection.," Comput. Electron. Agr., vol. 41, no. 1-3, pages 157-179, 2003.
    • (2003) Comput. Electron. Agr. , vol.41 , Issue.1-3 , pp. 157-179
    • Funck, J.W.1    Zhong, Y.2    Butler, D.A.3    Brunner, C.C.4    Forrer, J.P.5
  • 11
    • 0042925724 scopus 로고    scopus 로고
    • Genetic input selection to a neural classifier for defect classification of radiata pine boards
    • P.A. Estévez, C.A. Perez, and E. Goles, "Genetic input selection to a neural classifier for defect classification of radiata pine boards," Forest Prod. J. 53(7/8) pages 87-94, 2003.
    • (2003) Forest Prod. J. , vol.53 , Issue.7-8 , pp. 87-94
    • Estévez, P.A.1    Perez, C.A.2    Goles, E.3
  • 13
    • 0030216623 scopus 로고    scopus 로고
    • A survey on evaluation methods for image segmentation
    • Y.J. Zhang. "A survey on evaluation methods for image segmentation," Pattern Recognition 29(8):1335- 1346, 1996.
    • (1996) Pattern Recognition , vol.29 , Issue.8 , pp. 1335-1346
    • Zhang, Y.J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.