Compensated fuzzy hopfield neural network for codebook design in vector quantization

International Journal of Pattern Recognition and Artificial Intelligence

Volumn 14, Issue 8, 2001, Pages 1067-1079

  Liu, Shao Han ^a   Lin, Jzau Sheng ^a  

^a NATIONAL CHIN YI UNIVERSITY OF TECHNOLOGY   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CONVERGENCE OF NUMERICAL METHODS; FUZZY SETS; GLOBAL OPTIMIZATION; IMAGE ANALYSIS; IMAGE CODING; ITERATIVE METHODS; LEARNING SYSTEMS; MATHEMATICAL MODELS; PATTERN RECOGNITION; VECTOR QUANTIZATION;

CODEBOOK DESIGN; COMPENSATED FUZZY HOPFIELD NEURAL NETWORK;

NEURAL NETWORKS;

EID: 0342995788     PISSN: 02180014     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0218-0014(00)00064-7     Document Type: Article

References (28)

1. S. C. Amatur, D. Piriano and Y. Takefuji, "Optimization neural networks for the segmentation of magnetic resonance images," IEEE Trans. Med. Imag. 11 (1992) 215-220.
2. L. L. H. Andrew and M. Palaniswami, "A unified approach to selecting optimal step lengths for adaptive vector quantizers," IEEE Trans. Commun. 44 (1996) 434-439.
3. J. C. Bezdek, Fuzzy Mathematics in Pattern Classification, Ph.D. Dissertation, Applied Mathematics, Cornell University, Ithaca, NY (1973).
4. C. Y. Chang, R. Kwok and J. C. Curlander, "Spatial compression of seasat SAR images," IEEE Trans. Geosci. Remote Sens. 26 (1988) 673-685.
5. K. S. Cheng, J. S. Lin and C. W. Mao, "The application of competitive Hopfield neural network to medical image segmentation," IEEE Trans. Med. Imag. 15 (1996) 560-567.
6. P. C. Chung, C. T. Tsai, E. L. Chen and Y. N. Sun, "Polygonal approximation using a competitive Hopfield neural network," Patt. Recogn. 27 (1994) 1505-1512.
7. J. C. Dunn, "A fuzzy relative of the ISODATA process and its use in detecting compact well-separated clusters," J. Cybern. 3 (1974) 32-57.
8. P. Floreen and P. Orponen, "Attraction radii in binary Hopfield nets are hard to compute," Neural Comput. 5 (1993) 812-821.
9. A. Gersho and R. M. Gray, Vector Quantization and Signal Compression, Kluwer Academic Publishers, Norwell, MA, 1992.
10. R. M. Gray, "Vector quantization," IEEE ASSP Mag. 1 (1984) 4-29.
11. J. J. Hopfield, "Neural networks and physical systems with emergent collective computational abilities," Proc. Nat. Acad. Sci. USA 79 (1982) 2554-2558.
12. J. J. Hopfield and D. W. Tank, "Neural computation of decisions in optimization problems," Biol. Cybern. 52 (1985) 141-152.
13. C. C. Jou, "Fuzzy clustering using fuzzy competitive learning networks," IEEE Int. Conf. on Neural Networks, Vol. II, 1992 pp. 714-719.
14. N. B. Karayiannis and P.-I. Pai, "Fuzzy vector quantization algorithms and their application in image compression," IEEE Trans. Imag. Process. 4 (1995) 1193-1201.
15. J. S. Lin, K. S. Cheng and C. W. Mao, "Multispectral magnetic resonance images segmentation using fuzzy Hopfield neural network," J. Biomed. Comput. 42 (1996) 205-214.
16. J. S. Lin, K. S. Cheng and C. W. Mao, "A fuzzy Hopfield neural network for medical image segmentation," IEEE Trans. Nucl. Sci. 43 (1996) 2389-2398.
17. Y. Linde, A. Buzo and R. M. Gray, "An algorithm for vector quantizer design," IEEE Trans. Commun. COM-28 (1980) 85-94.
18. A. N. Netravali, Digital Pictures: Representation and Compression, Plenum Press, NY, 1988.
19. E. A. Riskin, T. Lookabaugh, P. A. Chou and R. M. Gray, "Variable rate vector quantization for medical image compression," IEEE Trans. Med. Imag. 9 (1990) 290-298.
20. E. Ruspini, "Numerical methods for fuzzy clustering," Inf. Sci. 2 (1970) 319-350.
21. J. E. Steck and S. N. Balakrishnan, "Use of Hopfield neural networks in optimal guidance," IEEE Trans. Aerosp. Electron. Syst. 30 (1994) 287-293.
22. C. T. Tsai, Y. N. Sun, P. C. Chung and J. S. Lee, "Endocardial boundary detection using a neural network," Patt. Recogn. 26 (1993) 1057-1068.
23. T. Washizawa, "Application of Hopfield network to saccades," IEEE Trans. Neural Net. 4 (1993) 995-997.
24. E. Yair, K. Zeger and A. Gersho, "Competitive learning and soft competition for vector quantizer design," IEEE Trans. Sign. Process. 40 (1992) 294-309.
25. M. S. Yang, "On a class of fuzzy classification maximum likelihood procedures," Fuzzy Sets Syst. 57 (1993) 365-375.
26. M. S. Yang and C. F. Su, "On parameter estimation for normal mixtures based on fuzzy clustering algorithms," Fuzzy Sets Syst. 68 (1994) 13-28.
27. L. A. Zadeh, "Fuzzy sets," Inform. Contr. 8 (1965) 338-353.
28. K. Zeger, J. Vaisey and A. Gersho, "Globally optimal vector quantizer design by stochastic relaxation," IEEE Trans. Sign. Process. 40 (1992) 310-322.