An Adaptive Clustering Algorithm for Image Segmentation

IEEE Transactions on Signal Processing

Volumn 40, Issue 4, 1992, Pages 901-914

  Pappas, Thrasyvoulos N ^a  

^a LUCENT TECHNOLOGIES   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

MATHEMATICAL TECHNIQUES - ITERATIVE METHODS; NOISE, SPURIOUS SIGNAL; PROBABILITY - RANDOM PROCESSES;

ADAPTIVE CLUSTERING; GIBBS RANDOM FIELD MODEL; IMAGE SEGMENTATION; SPATIAL CONSTRAINTS;

IMAGE PROCESSING;

EID: 0026842556     PISSN: 1053587X     EISSN: 19410476     Source Type: Journal    
DOI: 10.1109/78.127962     Document Type: Article

References (24)

1. J. T. Tou and R. C. Gonzalez, Pattern Recognition Principles. Reading MA: Addison-Wesley, 1974.
2. R. M. Gray and Y. Linde, “Vector quantizers and predictive quantizers for Gauss-Markov sources,” IEEE Trans. Commun., vol. COM-30, no. 2, pp. 381–389, Feb. 1982.
3. S. Geman and D. Geman, “Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images,” IEEE Trans. Patt. Anal. Machine Intell., vol. PAMI-6, no. 6, pp. 721–741, Nov. 1984.
4. J. Besag, “On the statistical analysis of dirty pictures,” J. Roy. Stat. Soc. B, vol. 48, no. 3, pp. 259–302, 1986.
5. H. Derin and H. Elliot, “Modeling and segmentation of noisy and textured images using Gibbs random fields,” IEEE Trans. Patt. Anal. Machine Intell., vol. PAMI-9, no. 1, 39–55, Jan. 1987.
6. S. Lakshmanan and H. Derin, “Simultaneous parameter estimation and segmentation of Gibbs random fields using simulated annealing, ” IEEE Trans. Patt. Anal. Machine Intell., vol. 11, no. 8, pp. 799–813, Aug. 1989.
7. R. M. Haralick and L. G. Shapiro, “Image segmentation tech niques,” Comput. Vision, Graph., Image Processing, vol. 29, pp. 100–132, 1985.
8. P. K. Sahoo, S. Soltani, and A. K. C. Wong, “A survey of thresholding techniques,” Comput. Vision, Graph., Image Processing, vol. 41, pp. 233–260, 1988.
9. J. S. Weszka, “A survey of threshold selection techniques,” Comput. Graph. Image vol. 7, 1978.
10. R. A. Boie and I. J. Cox, “Two-dimensional optimum edge recognition using matched and Wiener filters for machine vision,” in Proc. IEEE First Int. Conf. Comput. Vision (London, England), June 8–11, 1987, 450–456.
11. I. J. Cox, R. A. Boie, and D. A. Wallach, “Line recognition,” in Proc. Tenth Int. Conf. Patt. Recogn. (Atlantic City, NJ), June 16–21, 1990, pp. 639–645.
12. J. Besag, “Spatial interaction and the statistical analysis of lattice systems,” J. Roy. Stat. Soc. B, vol. 26, no. 2, pp. 192–236, 1974.
13. B. Chalmond, “Image restoration using an estimated Markov model,” Signal Processing, vol. 15, no. 2, pp. 115–129, Sept. 1988.
14. J. M. Dinten, “Tomographic reconstruction of axially symmetric objects: Regularization by a Markovian modelization.” presented at the 10th Int. Congr. Patt. Recog., 1990.
15. C. Bouman and B. Liu, “Segmentation of textured images using a multiple resolution approach,” in Proc. ICASSP-88 (New York), Apr. 1988, pp. 1124–1127.
16. C. Bouman and B. Liu, “Multiple resolution segmentation of textured images,” IEEE Trans. Patt. Anal. Machine Intell., vol. 13, no. 2, pp. 99–113, Feb. 1991.
17. R. Kindermann and J. L. Snell, Markov Random Fields and their Applications. American Mathematical Society, 1980.
18. H. Derin, “Experimentations with simulated annealing in allocation optimization problems,” in Proc. CISS-86, pp. 165–171.
19. T. Aach, U. Franke, and R. Mester, “Top-down image segmentation using object detection and contour relaxation,” in Proc. ICASSP-89 (Glasgow, U.K.), May 1989. pp. 1703–1706.
20. G. Wolberg and T. Pavlidis, “Restoration of binary images using stochastic relaxation with annealing,” Patt. Recogn. Lett., vol. 3, no. 6, pp. 375–387, Dec. 1985.
21. J. Zhang and J. W. Modestino, “A model-fitting approach to cluster validation with application to stochastic model-based image segmentation,” IEEE Trans. Patt. Anal. Machines Intell., vol. 12, no. 10, pp. 1009–1017, Oct. 1990.
22. K. Appel and W. Haken, “Every planar map is four colorable: Parts I and II,” III. J. Math., vol. 21, no. 3, pp. 429–567, Sept. 1977.
23. T. N. Pappas, “Adaptive thresholding and sketch-coding of grey level images,” Proc. SPIE Int. Soc. Opt. Eng., vol. 1199, Nov. 1989.
24. B. Gidas, “A renormalization group approach to image processing problems,” IEEE Trans. Patt. Anal. Machine Int., vol. 11, no. 2, pp. 164–180, Feb. 1989.