메뉴 건너뛰기




Volumn 49, Issue 22, 2010, Pages 4144-4151

Neural network model for rotation invariant recognition of object shapes

Author keywords

[No Author keywords available]

Indexed keywords

OPTICS;

EID: 77955857277     PISSN: 1559128X     EISSN: 15394522     Source Type: Journal    
DOI: 10.1364/AO.49.004144     Document Type: Article
Times cited : (3)

References (20)
  • 1
    • 84975634797 scopus 로고
    • Properties of the circular harmonic expansion for rotation-invariant pattern recognition
    • H. Arsenault and Y. Sheng, "Properties of the circular harmonic expansion for rotation-invariant pattern recognition," Appl. Opt. 25, 3225-3229 (1986).
    • (1986) Appl. Opt. , vol.25 , pp. 3225-3229
    • Arsenault, H.1    Sheng, Y.2
  • 2
    • 33749417583 scopus 로고    scopus 로고
    • Position,rotation,scale,and orientation-invariant multiple object recognition from cluttered scenes
    • P. Bone, R. Young, and C. Chatwin, "Position, rotation, scale, and orientation-invariant multiple object recognition from cluttered scenes," Opt. Eng. 45, 077203 (2006).
    • (2006) Opt. Eng. , vol.45 , pp. 077203
    • Bone, P.1    Young, R.2    Chatwin, C.3
  • 3
    • 0019022335 scopus 로고
    • Multivariant technique for multiclass pattern recognition
    • C. Hester and D. Casasent, "Multivariant technique for multiclass pattern recognition," Appl. Opt. 19, 1758-1761 (1980).
    • (1980) Appl. Opt. , vol.19 , pp. 1758-1761
    • Hester, C.1    Casasent, D.2
  • 4
    • 0038470526 scopus 로고
    • Linear phase coefficient composite filter banks for distortion- invariant optical pattern recognition
    • B. V. K. Vijaya Kumar, L. Hassebrook, and L. Hostetler, "Linear phase coefficient composite filter banks for distortion- invariant optical pattern recognition," Opt. Eng. 29, 1033-1043 (1990).
    • (1990) Opt. Eng. , vol.29 , pp. 1033-1043
    • Vijaya Kumar, B.V.K.1    Hassebrook, L.2    Hostetler, L.3
  • 5
    • 0033706069 scopus 로고    scopus 로고
    • Optimal tradeoff circular harmonic function correlation filter methods providing controlled in-plane rotation response
    • B. V. K. Vijaya Kumar, A. Mahalanobis, and A. Takessian, "Optimal tradeoff circular harmonic function correlation filter methods providing controlled in-plane rotation response," IEEE Trans. Image Process. 9, 1025-1034 (2000).
    • (2000) IEEE Trans. Image Process. , vol.9 , pp. 1025-1034
    • Vijaya Kumar, B.V.K.1    Mahalanobis, A.2    Takessian, A.3
  • 6
    • 0003320940 scopus 로고    scopus 로고
    • Projection-slice synthetic discriminant functions for optical pattern recognition
    • V. R. Riasati and M. A. G. Abushagur, "Projection-slice synthetic discriminant functions for optical pattern recognition," Appl. Opt. 36, 3022-3034 (1997).
    • (1997) Appl. Opt. , vol.36 , pp. 3022-3034
    • Riasati, V.R.1    Abushagur, M.A.G.2
  • 7
    • 33748525462 scopus 로고    scopus 로고
    • Wavelet modified maximum average correlation height filter for rotation invariance that uses chirp encoding in a hybrid digital optical correlator
    • S. Goyal, N. K. Nischal, V. K. Beri, and A. K. Gupta, "Wavelet modified maximum average correlation height filter for rotation invariance that uses chirp encoding in a hybrid digital optical correlator," Appl. Opt. 45, 4850-4857 (2006).
    • (2006) Appl. Opt. , vol.45 , pp. 4850-4857
    • Goyal, S.1    Nischal, N.K.2    Beri, V.K.3    Gupta, A.K.4
  • 8
    • 22944476131 scopus 로고    scopus 로고
    • Rotationally invariant pattern recognition by use of linear and nonlinear cascaded filters
    • N. Wu, R. D. Alcock, N. A. Halliwell, and J. Coupland, "Rotationally invariant pattern recognition by use of linear and nonlinear cascaded filters," Appl. Opt. 44, 4315-4322 (2005).
    • (2005) Appl. Opt. , vol.44 , pp. 4315-4322
    • Wu, N.1    Alcock, R.D.2    Halliwell, N.A.3    Coupland, J.4
  • 9
    • 36448985336 scopus 로고    scopus 로고
    • Rotation and scale invariant texture features based on spectral moment invariants
    • M. Wang and A. Knoesen, "Rotation- and scale-invariant texture features based on spectral moment invariants," J. Opt. Soc. Am. A 24, 2550-2557 (2007).
    • (2007) J. Opt. Soc. Am. A , vol.24 , pp. 2550-2557
    • Wang, M.1    Knoesen, A.2
  • 12
    • 27744602820 scopus 로고    scopus 로고
    • A hierarchical classifier using new support vector machines for automatic target recognition
    • D. Casasent and Y. Wang, "A hierarchical classifier using new support vector machines for automatic target recognition," Neural Netw. 18, 541-548 (2005).
    • (2005) Neural Netw. , vol.18 , pp. 541-548
    • Casasent, D.1    Wang, Y.2
  • 13
    • 0023513717 scopus 로고
    • Learning, invariances and generalizations in higher order neural networks
    • G. L. Giles and T. Maxwell, "Learning, invariances and generalizations in higher order neural networks," Appl. Opt. 26, 4972-4978 (1987).
    • (1987) Appl. Opt. , vol.26 , pp. 4972-4978
    • Giles, G.L.1    Maxwell, T.2
  • 14
    • 84893911166 scopus 로고
    • Artificial neural networks and their optical implementation
    • Z. Yanxin, "Artificial neural networks and their optical implementation," J. Optoelectron. Laser 1, 1-11 (1990). 15. R. N. Bracewell, The Fourier Transform and Its Application, 3rd ed. (McGraw-Hill, 1999).
    • (1990) J. Optoelectron. Laser , vol.1 , pp. 1-11
    • Yanxin, Z.1
  • 16
    • 84893967990 scopus 로고    scopus 로고
    • A neural network model for object recognition under rotational distortion
    • M. Pohit, "A neural network model for object recognition under rotational distortion," International Conference of Optics and Photonics (2009).
    • (2009) International Conference of Optics and Photonics
    • Pohit, M.1
  • 19
    • 84855344631 scopus 로고    scopus 로고
    • downloaded from
    • MPEG7 shape image database downloaded from http://www. imageprocessingplace.com/root-files-V3/image-databases.htm.
    • MPEG7 Shape Image Database
  • 20
    • 84893964968 scopus 로고    scopus 로고
    • downloaded from
    • Caltech image database downloaded from www.vision.caltech.edu/Image- Datasets/
    • Caltech Image Database


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.