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Volumn 40, Issue 5-6 SPEC. ISS., 1996, Pages 577-595

Pattern recognition based on morphological shape analysis and neural networks

Author keywords

Mathematical morphology; Neural networks; Pattern recognition

Indexed keywords

CLASSIFICATION (OF INFORMATION); COMPUTATIONAL GEOMETRY; ENCODING (SYMBOLS); LEARNING SYSTEMS; MATHEMATICAL MORPHOLOGY; MATHEMATICAL TRANSFORMATIONS; NEURAL NETWORKS; OBJECT RECOGNITION; PERFORMANCE; SIGNAL DISTORTION;

EID: 0030142979     PISSN: 03784754     EISSN: None     Source Type: Journal    
DOI: 10.1016/0378-4754(95)00008-9     Document Type: Article
Times cited : (11)

References (15)
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  • 3
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    • An efficient three-dimensional aircraft recognition algorithm using normalized Fourier descriptors
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    • Wallace, T.P.1    Winze, P.A.2
  • 4
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    • Generalizing the hough transform to detect arbitrary shapes
    • D.H. Ballard, Generalizing the hough transform to detect arbitrary shapes, Pattern Recognition 13(2) (1981) 111-122.
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    • Ballard, D.H.1
  • 7
    • 0343473884 scopus 로고
    • Multidimensional shape description and recognition using mathematical morphology
    • J.F. Bronskill and A.N. Venetsanopoulos, Multidimensional shape description and recognition using mathematical morphology, J. Intelligent Robot. Systems 1 (1988) 117-143.
    • (1988) J. Intelligent Robot. Systems , vol.1 , pp. 117-143
    • Bronskill, J.F.1    Venetsanopoulos, A.N.2
  • 8
    • 0024700098 scopus 로고
    • Pattern spectrum and multiscale shape representation
    • P. Maragos, Pattern spectrum and multiscale shape representation, IEEE Trans. Pattern Anal. Machine Intelligence 11(7) (1989) 701-716.
    • (1989) IEEE Trans. Pattern Anal. Machine Intelligence , vol.11 , Issue.7 , pp. 701-716
    • Maragos, P.1
  • 9
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    • The classification properties of the pecstrum and its use in pattern identification
    • V. Anastassopoulos and A.N. Venetsanopoulos, The classification properties of the pecstrum and its use in pattern identification, Circuits Systems Signal Process. 10(3) (1991) 293-326.
    • (1991) Circuits Systems Signal Process. , vol.10 , Issue.3 , pp. 293-326
    • Anastassopoulos, V.1    Venetsanopoulos, A.N.2
  • 11
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    • Partial recognition and classification using the scatter degree technique and neural networks
    • P. Yu and A.N. Venetsanopoulos, Partial recognition and classification using the scatter degree technique and neural networks, J. Intelligent Robot. Systems 5(3) (1992) 271-282.
    • (1992) J. Intelligent Robot. Systems , vol.5 , Issue.3 , pp. 271-282
    • Yu, P.1    Venetsanopoulos, A.N.2
  • 12
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    • An introduction to computing with neural nets
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    • Lippmann, R.P.1
  • 13
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    • Nonlinear neural networks: Principles, mechanisms, and architectures
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  • 15
    • 0348187998 scopus 로고
    • Efficient learning algorithms for single-layered neural networks
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    • N.B. Karayiannis and A.N. Venetsanopoulos, Efficient learning algorithms for single-layered neural networks, in: R. Eckmiller, G. Hartmann and G. Hanske, eds., Parallel Processing in Neural systems and Computers (Elsevier, Amsterdam, 1990) 173-176.
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    • Karayiannis, N.B.1    Venetsanopoulos, A.N.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.