Circuit realization of Markov random fields for analog image processing

International Journal of Circuit Theory and Applications

Volumn 26, Issue 5, 1998, Pages 477-498

  Parodi, Mauro ^a   Storace, Marco ^a   Regazzoni, Carlo ^a  

^a UNIVERSITY OF GENOA   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

CAPACITORS; EDGE DETECTION; IMAGE PROCESSING; MARKOV PROCESSES; PARALLEL PROCESSING SYSTEMS; REAL TIME SYSTEMS; RESISTORS; SPURIOUS SIGNAL NOISE;

ANALOG IMAGE PROCESSING; MARKOV RANDOM FIELDS (MRF); NONLINEAR CIRCUITS;

ELECTRIC NETWORK ANALYSIS;

EID: 0032148685     PISSN: 00989886     EISSN: None     Source Type: Journal    
DOI: 10.1002/(SICI)1097-007X(199809/10)26:5<477::AID-CTA31>3.0.CO;2-1     Document Type: Article

References (22)

1. C. Koch and B. Mathur, 'Neuromorphic vision chips', IEEE Spectrum, 33(5), 38-46 (1996).
2. L.O. Chua and L. Yang, 'Cellular neural networks: theory', IEEE Trans. Circuits Systems, CAS-35(10), 1257-1272 (1988).
3. Int. J. Circuit. Theory. Appl., Special Issue on Cellular Neural Networks, CTA-20(5), (1992).
4. IEEE Trans. Circuits Systems, Special Issue on Nonlinear Waves, Patterns and Spatio-Temporal Chaos in Dynamic Arrays, CAS-42 (10), (1995).
5. Int. J. Circuit Theory Appl., Special Issue on Cellular Neural Networks II: Part I, CTA-24(1), (1996).
6. Int. J. Circuit Theory Appl., Special Issue on Cellular Neural Networks U: Part II, CTA-24(3), (1996).
7. C. Rekeczky, T. Roska and A. Ushida, 'CNN based self adjusting nonlinear filters', Proc. CNNA'96, Seville, Spain, 1996, pp. 369-373.
8. T. Roska and L. O. Chua, The CNN universal machine', IEEE Trans. Circuits Systems, CAS-40(3), 163-173 (1993).
9. T. Poggio, V Torre and C. Koch, 'Computational vision and regularization theory', Nature, 317, 314-319 (1985).
10. T. Poggio and C. Koch, 'Ill-posed problems in early-vision: from computational theory to analogue networks', Proc. Roy. Soc. Lond. B, 226, 303-323 (1985).
11. D. Geman and S. Geman, 'Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images', IEEE Trans. PAMI, PAMI-6(6), 721-741 (1984).
12. T. Sziranyi and J. Zerubia, 'Markov random fields image segmentation using cellular neural network', IEEE Trans. Circuits Systems, CAS-44(1), 86-89 (1997).
13. D. Geiger and F. Girosi, 'Parallel and deterministic algorithms for MRF's: surface reconstruction', IEEE Trans. PAMI, PAMI-13(5), 401-412 (1991).
14. D. Geman and G. Reynolds, 'Constrained restoration and the recovery of discontinuities', IEEE Trans. PAMI, PAMI-14(3), 367-383 (1992).
15. L. O. Chua, 'Stationary principles and potential functions for non-linear networks', J. Franklin Inst., 296(2), 91-114 (1973).
16. M. P. Kennedy and L. O. Chua, 'Neural networks for nonlinear programming', IEEE Trans. Circuits Systems CAS-35(5), 554-562 (1988).
17. T. Roska and L. O. Chua, 'Cellular neural networks with non-linear and delay-type template elements and non-uniform grids', Int. J. Circuit Theory Appl., 20(5), 469-481 (1992).
18. N. Piskunov, Differential and Integral Calculus, MIR Publishers, Moskow, 1977.
19. A. Blake and A. Zissermann, Visual reconstruction, MIT press, Cambridge, MA, 1987.
20. P. Perona and J. Malik, 'Scale-space and edge detection using anisotropic diffusion', IEEE Trans. PAMI, PAMI-12(7), 629-639 (1990).
21. L. O. Chua and D. N. Green, 'A qualitative analysis of the behavior of dynamic nonlinear networks: stability of autonomous networks', IEEE Trans. Circuits Systems., CAS-23(6), 355-379 (1976).
22. J. C. Brailean and A. Katsaggelos, 'Simultaneous recursive displacement estimation and restoration of noisy-blurred image sequences', IEEE Trans. Image Process., 4 (9), 1236-1251 (1995).