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Volumn 15, Issue 2, 2000, Pages 511-514

Bispectrum-based feature of 2D and 3D images invariant to similarity transformations

Author keywords

[No Author keywords available]

Indexed keywords

ADDITIVE NOISE;

EID: 0006607346     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Article
Times cited : (6)

References (15)
  • 1
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    • Wood, J.1
  • 2
    • 0021460615 scopus 로고
    • Triple correlations
    • A. W. Lohmann and B. Wiraitzer, "Triple correlations", Proc. IEEE, 72, 1984, pp. 889-901.
    • (1984) Proc. IEEE , vol.72 , pp. 889-901
    • Lohmann, A.W.1    Wiraitzer, B.2
  • 3
    • 0023383894 scopus 로고
    • Bispectrum estimation: A digital signal processing framework
    • C. L. Nikias and M. R. Raghuveer, "Bispectrum estimation: a digital signal processing framework", Proc. IEEE, 75, 1987, pp. 869-891.
    • (1987) Proc. IEEE , vol.75 , pp. 869-891
    • Nikias, C.L.1    Raghuveer, M.R.2
  • 4
    • 0001364162 scopus 로고
    • Nth-order autocorrelations in pattern recognition
    • J. A. McLaughlin and J. Raviv, "Nth-order autocorrelations in pattern recognition", Information and Control, 12, 1968, pp. 121-142.
    • (1968) Information and Control , vol.12 , pp. 121-142
    • McLaughlin, J.A.1    Raviv, J.2
  • 6
    • 0027593438 scopus 로고
    • Three-dimensional object recognition using similar triangles and decision trees
    • L. Spirkovska, "Three-dimensional object recognition using similar triangles and decision trees", Pattern Recognition, 26, 1993, pp. 723-732.
    • (1993) Pattern Recognition , vol.26 , pp. 723-732
    • Spirkovska, L.1
  • 7
    • 0028430458 scopus 로고
    • Invariant image classification using triple-correlation-based neural networks
    • A. Delopoulos, et al., "Invariant image classification using triple-correlation-based neural networks", IEEE Trans. Neural Networks, 5, 1994, pp. 392-408.
    • (1994) IEEE Trans. Neural Networks , vol.5 , pp. 392-408
    • Delopoulos, A.1
  • 8
    • 0029341203 scopus 로고
    • Bispectral analysis and model validation of texture images
    • T. E. Hall and G. B. Giannakis, "Bispectral analysis and model validation of texture images", IEEE Trans. Image Proc., 5, 1995, pp. 996-1009.
    • (1995) IEEE Trans. Image Proc. , vol.5 , pp. 996-1009
    • Hall, T.E.1    Giannakis, G.B.2
  • 9
    • 0001081823 scopus 로고    scopus 로고
    • Pattern recognition with invariance to similarity transformations based on the third-order correlation
    • B74.1
    • Y. Horikawa, "Pattern recognition with invariance to similarity transformations based on the third-order correlation", Proc. 13th International Conference on Pattern Recognition (ICPR'96), vol. 2, B74.1, 1996, pp. 200-204.
    • (1996) Proc. 13th International Conference on Pattern Recognition (ICPR'96) , vol.2 , pp. 200-204
    • Horikawa, Y.1
  • 10
    • 0030217035 scopus 로고    scopus 로고
    • On a new computationally fast image invariant based on bispectral projections
    • R. Marabini and J. M. Carazo, "On a new computationally fast image invariant based on bispectral projections", Pattern Recognition Lett., 17, 1996, pp. 959-967.
    • (1996) Pattern Recognition Lett. , vol.17 , pp. 959-967
    • Marabini, R.1    Carazo, J.M.2
  • 11
    • 0031144704 scopus 로고    scopus 로고
    • Pattern recognition using invariants defined from higher order spectra: 2-D image inputs
    • V. Chandran, et al., "Pattern recognition using invariants defined from higher order spectra: 2-D image inputs", IEEE Trans. Image Proc., 6, 1997, pp. 703-712.
    • (1997) IEEE Trans. Image Proc. , vol.6 , pp. 703-712
    • Chandran, V.1
  • 13
    • 0032041494 scopus 로고    scopus 로고
    • Noisy texture classification: A higher-order statistics approach
    • V. Murino, et al., "Noisy texture classification: a higher-order statistics approach", Pattern Recognition, 31, 1998, pp. 383-393.
    • (1998) Pattern Recognition , vol.31 , pp. 383-393
    • Murino, V.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.