A Gaussian-mixture-based image segmentation algorithm

Pattern Recognition

Volumn 31, Issue 3, 1998, Pages 315-325

  Gupta, Lalit ^a   Sortrakul, Thotsapon ^a  

^a Southern Illinois University   (United States)

Author keywords

Gaussian mixture; Histogram; Segmentation; Thresholding

Indexed keywords

ALGORITHMS; EDGE DETECTION; MATHEMATICAL MODELS; PARAMETER ESTIMATION; PROBABILITY DENSITY FUNCTION;

GAUSSIAN MIXTURE; HISTOGRAM; THRESHOLDING;

IMAGE SEGMENTATION;

EID: 0032017754     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0031-3203(97)00045-9     Document Type: Article

References (28)

1. C. K. Chow and T. Kaneko, Automatic boundary detection of the left ventricle from cineangiograms, Comput. Biomed. Res. 5, 388-410 (1972).
2. N. Ahuja and Rosenfeld, A note on the use of second-order gray level statistics for thresholding selection, IEEE Trans. Systems Man Cybernet. SMC-8(12), 895-898 (1978).
3. Y. Nagawa and A. Rosenfeld, Some experiments on variable thresholding, Pattern Recognition 11, 191-204 (1979).
4. R. L. Kirby and A. Rosenfeld, A note on the use of (gray level, local average gray level) space as an aid in thresholding selection, IEEE Trans. Systems Man Cybernet. SMC-9(12), 860-864 (1979).
5. J. S. Weszka and A. Rosenfeld, Histogram modification for threshold selection, IEEE Trans. Systems Man Cybernet. SMC-9(1), 38-52 (1979).
6. J. Kittler and J. Illingworth, Minimum error thresholding, Pattern Recognition, 19, 41-47 (1986).
7. S. Cho, R. Haralick, and S. Yi, Improvement of Kittler and Illingworth's minimum error thresholding, Pattern Recognition 22(5), 609-617 (1989).
8. S. Lee and S. Y. Chung, A comparative performance study of several global thresholding techniques for segmentation, Comput. Vision Graphics Image Process. 52, 171-190 (1990).
9. T. Kurita, N. Otsu, and N. Abdelmalek, Maximum likelihood thresholding based on population mixture models, Pattern Recognition 25 (10), 1231-1240 (1992).
10. R. C. Jansen, K. Reinink, and G. W. A. M. van der Heijden, Analysis of gray level histograms by using statistical methods for mixtures of distributions, Pattern Recognition Lett. 586-590 (1993).
11. A. Rosenfeld and A.V. Kak, Digital Image Processing, Vol. 2. Academic press, New York (1982).
12. R. C. Gonzalez and R. E. Woods, Digital Image Processing. Addison-Wesley, New York (1992).
13. N. R. Pal and S. K. Pal, A review on image segmentation techniques, Pattern Recognition, 26, 1277-1294 (1993).
14. Y. T. Zhou, V. Venkateswar and R. Chellappa, Edge detection and linear feature extraction using 2-D random field model, IEEE Trans. Pattern Anal. Machine Intell. PAMI-11, 84-95 (1989).
15. L. Dron, The multiscale veto model: A two-stage analog network for edge detection and image reconstruction, Int. J. Comput. Vision 11, 45-61 (1993).
16. I. J. Cox, J. M. Rehg, and S. Hingorani, A Bayesian multiple hypothesis approach to edge grouping and contour segmentation, Int. J. Comput, Vision. 11, 5-24 (1993).
17. M. D. Levine and S. I. Shaheen, A modular computer vision system for picture segmentation and interpretation, IEEE Trans. Pattern Anal. Machine Intell. PAMI-3(5), (1981).
18. T. C. Pong, L. G. Shapiro, L. T. Watson and R. M. Haralick, Experiments in segmentation using a facet model region grower, Comput. Vision Graphics Image Process. 25, (1984).
19. J. P. Gambotto, A new approach to combining region growing and edge detection, Pattern Recognition Lett. 14, 869-875 (1993).
20. M. Pietikainen, A. Rosenfeld, and I. Walter, Split and link algorithm for image segmentation, Pattern Recognition, 15, 287-298 (1982).
21. J. R. Parker, Gray level thresholding in badly illuminated images, IEEE Trans. Pattern Anal. Machine Intell. PAMI-13(8), 813-819 (1991).
22. X. Wu, Adaptive split-and-merge segmentation based on piecewise least-square approximation, IEEE Trans. Pattern Anal. Machine Intell. PAMI-15, 808-815 (1993).
23. A. Rosenfeld, R. A. Hummel and S. W. Sucker, Scene labeling by relaxation operations, IEEE Trans. Pattern Anal. Machine Intell. PAMI-6, 420-433 (1976).
24. S. Peleg, A new probabilistic relaxation scheme, IEEE Trans. Pattern Anal. Machine Intell. PAMI-2, 362-369 (1980).
25. A. Rosenfeld and R. C. Smith, Thresholding using relaxation, IEEE Trans. Pattern Anal. Machine Intell. PAMI-3, 598-606 (1981).
26. M. Trivedi and J. C. Bezdek, Low-level segmentation of aerial images with fuzzy clustering, IEEE Trans. System Man Cybernet. 16(4), 589-598 (1986).
27. J. M. Keller, and C. L. Carpenter, Image segmentation in the presence of uncertainty, Int. J. Intell. Systems 5, 193-208 (1990).
28. S. K. Pal and A. Ghosh, Index of area coverage of fuzzy image subset and object extraction, Pattern Recognition Lett. 11, 831-841 (1990).