3D MR image restoration by combining local genetic algorithm with adaptive pre-conditioning

Proceedings - International Conference on Pattern Recognition

Volumn 15, Issue 3, 2000, Pages 298-301

  Jiang, Tianzi Jiang ^a,c,d   Kruggel, Frithjof ^b  

^a IEEE   (China)

^b MAX PLANCK INSTITUTE FOR HUMAN COGNITIVE AND BRAIN SCIENCES   (Germany)

^c INSTITUTE OF AUTOMATION   (China)

^d QUEEN'S UNIVERSITY BELFAST   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

GENETIC ALGORITHMS; IMAGE SEGMENTATION; MAGNETIC RESONANCE IMAGING; MARKOV PROCESSES; RESTORATION; SPEECH RECOGNITION;

CORRUPTED IMAGES; LOCAL GENETIC ALGORITHMS; MARKOV RANDOM FIELD MODEL; MR IMAGES; PRE-CONDITIONING; SHAPE TRANSITIONS;

IMAGE RECONSTRUCTION;

EID: 33750923069     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Article

References (6)

1. L. Bedini and A. Tonazzini, "Image restoration preserving discontinuities: the Bayesian approach and neural networks", Image and Vision Computing, vol. 10, no. 2, 1992, 108-118.
2. S. Geman and D. Geman, "Stochastic Relaxation, Gibbs Distribution, and the Bayesian Restoration of Images," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 6, no. 6, pp. 721-741, 1984.
3. D. E. Goldberg, Genetic algorithms in search, optimization, and machine learning, Reading, MA: Addison-Wesley, 1989.
4. J. P. Ignizio, Goal Programming and Extensions, Lexington, MA: Lexington Books, 1976.
5. S. H. Lai, B. C. Vemuri, "Efficient hybrid search for visual reconstruction problems", Image And Vision Computing, vol. 17, no. 1, pp. 37-49 1999.
6. C. Wagner and G. Wittum, "Tangential Frequency Filtering Decompositions for Symmetric Matrices", Numer. Math., 78:1(1997), 119-142.