General unsupervised multiscale segmentation of images

Conference Record of the 33rd Asilomar Conference on Signals, Systems, and Computers

Volumn 1, Issue , 1999, Pages 63-67

  Kam, Alvin H ^a   Fitzgerald, William J ^a  

^a UNIVERSITY OF CAMBRIDGE   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

INTELLIGENT SYSTEMS; MARKOV PROCESSES; MONTE CARLO METHODS; COLOR IMAGE PROCESSING; COMPUTER SIMULATION; IMAGE ANALYSIS; MATHEMATICAL MODELS;

CLASSIFICATION PROCEDURE; DECOMPOSITION METHODS; MARKOV CHAIN MONTE CARLO SIMULATION; MULTI-SCALE APPROACHES; MULTISCALE PROCESSING; MULTISCALE RANDOM FIELDS; MULTISCALE SEGMENTATION; TEXTURE SEGMENTATION;

IMAGE SEGMENTATION;

BAYESIAN MULTISCALE PROCESSING; GENERAL UNSUPERVISED MULTISCALE APPROACH;

EID: 0033331004     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ACSSC.1999.832297     Document Type: Conference Paper

References (10)

1. C. Bouman and M. Shapiro. A Multiscale Random Field Model for Bayesian Image Segmentation. IEEE Trans.Image Process., 3(2): 162-177, 1994.
2. T. Chang and C. Kuo. Texture Analysis and Classification with a Tree-Structured Wavelet Transform. lEEE Truns. huge Process., 2(4):429-441, 1993.
3. Y. Cheng. Mean Shift, Mode Seeking, and Clustering. IEEE Trans. Pattern Anal. Muchine Intell., 17(8):770-799, 1995.
4. D. Comaniciu and P. Meer. Distribution Free Decomposition of Multivariate Data. 2nd Int. Workshop on Statisi. TecIiniques in Putt. Recog., Sydney, Australia, 1998.
5. K. Fukunaga and L. Hosteler. The Estimation of the Gradient of a Density Function, with Applications in Pattern Recognition. IEEE Trans. Irfo. Theory, 21 :32-40, 1975.
6. S. Geman and D. Geman. Stochastic Relaxation, Gibbs Distributions and the Bayesian Restoration of Images. IEEE Trans. Pattern Anal. Machine Intell., 6(6):721-741, 1984.
7. W. Hastings. Monte Carlo Sampling Methods using Markov Chains and their Applications. Bionzetrika, 57:97- 109, 1970.
8. N. Metropolis, A. Rosenbluth, and M. Rosenbluth. Equation of State Calculations by Fast Computing Machines. Journal of Chem. Phys., 21:1087-1092, 1953.
9. B. Silverman. Density Estirnation for Statistics arid Data Analysis. Chapman and Hall, London, 1986.
10. R. Wilson and M. Spann. Image Segmentation and Uncertainty. Research Studies Press Ltd., Letchworth, Hertfordshire, U.K., 1988.