메뉴 건너뛰기




Volumn 3, Issue 4, 2012, Pages 297-305

A hierarchical multilevel thresholding method for edge information extraction using fuzzy entropy

Author keywords

Edge information; Edge similarity; Histogram hierarchy; Maximum fuzzy entropy principle; Multilevel thresholding

Indexed keywords

EDGE INFORMATION; EDGE SIMILARITY; HISTOGRAM HIERARCHY; MAXIMUM FUZZY ENTROPY; MULTILEVEL THRESHOLDING;

EID: 84868112040     PISSN: 18688071     EISSN: 1868808X     Source Type: Journal    
DOI: 10.1007/s13042-011-0063-7     Document Type: Article
Times cited : (13)

References (28)
  • 1
    • 36248951177 scopus 로고    scopus 로고
    • Multilevel thresholding for image segmentation through a fast statistical recursive algorithm
    • Arora S, Acharya J et al (2008) Multilevel thresholding for image segmentation through a fast statistical recursive algorithm. Pattern Recogn Lett 29(2): 119-125.
    • (2008) Pattern Recogn Lett , vol.29 , Issue.2 , pp. 119-125
    • Arora, S.1    Acharya, J.2
  • 2
    • 0035387634 scopus 로고    scopus 로고
    • Edge-preserved neural network model for image restoration
    • Bao P, Wang DH (2001) Edge-preserved neural network model for image restoration. J Electron Imag 10(3): 735-743.
    • (2001) J Electron Imag , vol.10 , Issue.3 , pp. 735-743
    • Bao, P.1    Wang, D.H.2
  • 3
    • 0036812180 scopus 로고    scopus 로고
    • Efficient two-level image thresholding method based on Bayesian formulation and the maximum entropy principle
    • Chang Y, Fu AMN et al (2002) Efficient two-level image thresholding method based on Bayesian formulation and the maximum entropy principle. Optical Eng 41(10): 2487-2498.
    • (2002) Optical Eng , vol.41 , Issue.10 , pp. 2487-2498
    • Chang, Y.1    Fu, A.M.N.2
  • 4
    • 0032117738 scopus 로고    scopus 로고
    • Threshold selection based on fuzzy c-partition entropy approach
    • Cheng HD, Chen JR et al (1998) Threshold selection based on fuzzy c-partition entropy approach. Pattern Recogn 31(7): 857-870.
    • (1998) Pattern Recogn , vol.31 , Issue.7 , pp. 857-870
    • Cheng, H.D.1    Chen, J.R.2
  • 5
    • 2942537920 scopus 로고    scopus 로고
    • Image thresholding using Tsallis entropy
    • de Albuquerque MP, Esquef IA et al (2004) Image thresholding using Tsallis entropy. Pattern Recogn Lett 25(9): 1059-1065.
    • (2004) Pattern Recogn Lett , vol.25 , Issue.9 , pp. 1059-1065
    • de Albuquerque, M.P.1    Esquef, I.A.2
  • 6
    • 77949425289 scopus 로고    scopus 로고
    • Multilevel thresholding for image segmentation through an improved quantum-behaved particle swarm algorithm
    • Gao H, Xu WB et al (2010) Multilevel thresholding for image segmentation through an improved quantum-behaved particle swarm algorithm. IEEE Transact Instrum Meas 59(4): 934-946.
    • (2010) IEEE Transact Instrum Meas , vol.59 , Issue.4 , pp. 934-946
    • Gao, H.1    Xu, W.B.2
  • 7
    • 81255152339 scopus 로고    scopus 로고
    • Positive and negative fuzzy rule system, extreme learning machine and image classification
    • Jun W, W Shitong et al (2011) Positive and negative fuzzy rule system, extreme learning machine and image classification. Int J Mach Learn Cybernet: 1-11.
    • (2011) Int J Mach Learn Cybernet , pp. 1-11
    • Jun, W.1    Shitong, W.2
  • 8
    • 0022266928 scopus 로고
    • A new method for gray-level picture thresholding using the entropy of the histogram
    • Kapur JN, Sahoo PK et al (1985) A new method for gray-level picture thresholding using the entropy of the histogram. Comput Vision Graphics Image Process 29(3): 273-285.
    • (1985) Comput Vision Graphics Image Process , vol.29 , Issue.3 , pp. 273-285
    • Kapur, J.N.1    Sahoo, P.K.2
  • 9
    • 0022982937 scopus 로고
    • Fuzzy entropy and conditioning
    • Kosko B (1986) Fuzzy entropy and conditioning. Inf Sci 40(2): 165-174.
    • (1986) Inf Sci , vol.40 , Issue.2 , pp. 165-174
    • Kosko, B.1
  • 11
    • 0034850577 scopus 로고    scopus 로고
    • A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics
    • Martin D, Fowlkes C et al (2001) A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics. Proceedings of eighth IEEE international conference on computer vision, vol 2, pp 416-423.
    • (2001) Proceedings of eighth IEEE international conference on computer vision , vol.2 , pp. 416-423
    • Martin, D.1    Fowlkes, C.2
  • 12
    • 0018306059 scopus 로고
    • Threshold selection method from Gray-Level histograms
    • Otsu N (1979) Threshold selection method from Gray-Level histograms. IEEE Transact Syst Man Cybernet 9(1): 62-66.
    • (1979) IEEE Transact Syst Man Cybernet , vol.9 , Issue.1 , pp. 62-66
    • Otsu, N.1
  • 13
    • 0019038769 scopus 로고
    • A new method for grey-level picture thresholding using the entropy of the histogram
    • Pun T (1980) A new method for grey-level picture thresholding using the entropy of the histogram. Signal Process 2(3): 223-237.
    • (1980) Signal Process , vol.2 , Issue.3 , pp. 223-237
    • Pun, T.1
  • 14
    • 79953658462 scopus 로고    scopus 로고
    • A new multilevel thresholding method using swarm intelligence algorithm for image segmentation
    • Sathya P, Duraisamy RK (2010) A new multilevel thresholding method using swarm intelligence algorithm for image segmentation. Intell Learn Syst Appl (2).
    • (2010) Intell Learn Syst Appl , vol.2
    • Sathya, P.1    Duraisamy, R.K.2
  • 15
    • 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 Imag 13(1): 146-168.
    • (2004) J Electron Imag , vol.13 , Issue.1 , pp. 146-168
    • Sezgin, M.1    Sankur, B.2
  • 16
    • 0142088890 scopus 로고    scopus 로고
    • Image segmentation by three-level thresholding based on maximum fuzzy entropy and genetic algorithm
    • Tao W (2003) Image segmentation by three-level thresholding based on maximum fuzzy entropy and genetic algorithm. Pattern Recogn Lett 24(16): 3069-3078.
    • (2003) Pattern Recogn Lett , vol.24 , Issue.16 , pp. 3069-3078
    • Tao, W.1
  • 17
    • 33847029148 scopus 로고    scopus 로고
    • Object segmentation using ant colony optimization algorithm and fuzzy entropy
    • Tao W, Jin H et al (2007) Object segmentation using ant colony optimization algorithm and fuzzy entropy. Pattern Recogn Lett 28(7): 788-796.
    • (2007) Pattern Recogn Lett , vol.28 , Issue.7 , pp. 788-796
    • Tao, W.1    Jin, H.2
  • 19
    • 70649094298 scopus 로고    scopus 로고
    • Maximum fuzzy entropy and immune clone selection algorithm for image segmentation
    • Tian W, Geng Y et al (2009) Maximum fuzzy entropy and immune clone selection algorithm for image segmentation. Asia-Pacific Conf Inf Process 1: 38-41.
    • (2009) Asia-Pacific Conf Inf Process , vol.1 , pp. 38-41
    • Tian, W.1    Geng, Y.2
  • 20
    • 84868095633 scopus 로고    scopus 로고
    • Theoretical foundation for nonlinear edge-preserving regularized learning image restoration
    • Wang, D. H. and T. S. Dillon (2002) Theoretical foundation for nonlinear edge-preserving regularized learning image restoration. Al 2002: Adv Artif Intell 2557: 693-703.
    • (2002) Al 2002: Adv Artif Intell , vol.2557 , pp. 693-703
    • Wang, D.H.1    Dillon, T.S.2
  • 21
    • 0000377020 scopus 로고    scopus 로고
    • On the optimization of fuzzy decision trees
    • Wang X, Chen B et al (2000) On the optimization of fuzzy decision trees. Fuzzy Sets Syst 112(1): 117-125.
    • (2000) Fuzzy Sets Syst , vol.112 , Issue.1 , pp. 117-125
    • Wang, X.1    Chen, B.2
  • 22
    • 67149088596 scopus 로고    scopus 로고
    • Improving generalization of fuzzy if-then rules by maximizing fuzzy entropy
    • Wang XZ, Dong CR (2009) Improving generalization of fuzzy if-then rules by maximizing fuzzy entropy. IEEE Trans Fuzzy Syst 17(3): 556-567.
    • (2009) IEEE Trans Fuzzy Syst , vol.17 , Issue.3 , pp. 556-567
    • Wang, X.Z.1    Dong, C.R.2
  • 23
    • 34249696113 scopus 로고    scopus 로고
    • Training T-S norm neural networks to refine weights for fuzzy if-then rules
    • Wang XZ, Dong CR et al (2007) Training T-S norm neural networks to refine weights for fuzzy if-then rules. Neurocomputing 70(13-15): 2581-2587.
    • (2007) Neurocomputing , vol.70 , Issue.13-15 , pp. 2581-2587
    • Wang, X.Z.1    Dong, C.R.2
  • 24
    • 0024704396 scopus 로고
    • A gray-level threshold selection method based on maximum-entropy principle
    • Wong AKC, Sahoo PK (1989) A gray-level threshold selection method based on maximum-entropy principle. IEEE Transact Syst Man Cybernet 19(4): 866-871.
    • (1989) IEEE Transact Syst Man Cybernet , vol.19 , Issue.4 , pp. 866-871
    • Wong, A.K.C.1    Sahoo, P.K.2
  • 25
    • 0142025167 scopus 로고    scopus 로고
    • Local entropy-based transition region extraction and thresholding
    • Yan CX, Sang N et al (2003) Local entropy-based transition region extraction and thresholding. Pattern Recogn Lett 24(16): 2935-2941.
    • (2003) Pattern Recogn Lett , vol.24 , Issue.16 , pp. 2935-2941
    • Yan, C.X.1    Sang, N.2
  • 26
    • 0030403711 scopus 로고    scopus 로고
    • Unified formulation of a class of image thresholding techniques
    • Yan H (1996) Unified formulation of a class of image thresholding techniques. Pattern Recogn 29(12): 2025-2032.
    • (1996) Pattern Recogn , vol.29 , Issue.12 , pp. 2025-2032
    • Yan, H.1
  • 27
    • 0032737679 scopus 로고    scopus 로고
    • A fast scheme for optimal thresholding using genetic algorithms
    • Yin PY (1999) A fast scheme for optimal thresholding using genetic algorithms. Signal Process 72(2): 85-95.
    • (1999) Signal Process , vol.72 , Issue.2 , pp. 85-95
    • Yin, P.Y.1
  • 28
    • 0035360374 scopus 로고    scopus 로고
    • A technique of three-level thresholding based on probability partition and fuzzy 3-partition
    • Zhao MS, Fu AMN et al (2001) A technique of three-level thresholding based on probability partition and fuzzy 3-partition. IEEE Trans Fuzzy Syst 9(3): 469-479.
    • (2001) IEEE Trans Fuzzy Syst , vol.9 , Issue.3 , pp. 469-479
    • Zhao, M.S.1    Fu, A.M.N.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.