T-Tests, F-Tests and Otsu's methods for image thresholding

IEEE Transactions on Image Processing

Volumn 20, Issue 8, 2011, Pages 2392-2396

  Xue, Jing Hao ^a   Titterington, D Michael ^b  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

^b UNIVERSITY OF GLASGOW   (United Kingdom)

Author keywords

tests, image thresholding; Analysis of variance (ANOVA); likelihood ratio tests; Otsu's methods; Student's tests

Indexed keywords

BINARIZATIONS; IMAGE THRESHOLDING; LIKELIHOOD-RATIO TEST; LIKELIHOOD-RATIO TESTS; MULTILEVEL THRESHOLDING; OPTIMAL THRESHOLD; OTSU'S METHOD; OTSU'S METHODS; T-TESTS;

OPTIMIZATION; STATISTICAL TESTS; STUDENTS;

ANALYSIS OF VARIANCE (ANOVA);

EID: 79960501852     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2011.2114358     Document Type: Article

References (23)

1. N. R. Pal and S. K. Pal, "A review on image segmentation techniques," Pattern Recognit., vol. 26, no. 9, pp. 1277-1294, 1993.
2. R. C. Gonzalez and R. E. Woods, Digital Image Processing, 3rd ed. Upper Saddle River, NJ: Pearson Prentice Hall, 2008.
3. P. K. Sahoo, S. Soltani, A. K. C. Wong, and Y. C. Chen, "A survey of thresholding techniques," Comput. Vis., Graph., Image Process., vol. 41, no. 2, pp. 233-260, 1988.
4. C. A. Glasbey, "An analysis of histogram-based thresholding algorithms," CVGIP: Graph. Models Image Process., vol. 55, no. 6, pp. 532-537, 1993.
5. Ø. D. Trier and A. K. Jain, "Goal-directed evaluation of binarization methods," IEEE Trans. Pattern Anal. Machine Intell., vol. 17, no. 12, pp. 1191-1201, 1995.
6. M. Sezgin and B. Sankur, "Survey over image thresholding techniques and quantitative performance evaluation," J. Electron. Imag., vol. 13, no. 1, pp. 146-165, 2004.
7. N. Otsu, "A threshold selection method from gray-level histograms," IEEE Trans. Syst., Man, Cybern., vol. SMC-9, pp. 62-66, 1979. (Pubitemid 9413341)
8. Z. Hou, Q. Hu, and W. L. Nowinski, "On minimum variance thresholding," Pattern Recognit. Lett., vol. 27, no. 14, pp. 1732-1743, 2006. (Pubitemid 44291485)
9. C. A. Markowski and E. P. Markowski, "Conditions for the effectiveness of a preliminary test of variance," The American Statistician, vol. 44, no. 4, pp. 322-326, 1990.
10. J. Kittler and J. Illingworth, "Minimum error thresholding," Pattern Recognit., vol. 19, no. 1, pp. 41-47, 1986.
11. T. Kurita, N. Otsu, and N. Abdelmalek, "Maximum likelihood thresholding based on population mixture models," Pattern Recognit., vol. 25, no. 10, pp. 1231-1240, 1992. (Pubitemid 23586466)
12. L. Kurz and M. H. Benteftifa, Analysis of Variance in Statistical Image Processing. Cambridge, U.K.: Cambridge Univ. Press, 1997.
13. N. R. Pal and D. Bhandari, "Image thresholding: Some new techniques," Signal Process., vol. 33, no. 2, pp. 139-158, 1993.
14. Y. Bazi, L. Bruzzone, and F. Melgani, "Image thresholding based on the EM algorithm and the generalized Gaussian distribution," Pattern Recognit., vol. 40, no. 2, pp. 619-634, 2007. (Pubitemid 44635644)
15. S.-K. S. Fan, Y. Lin, and C.-C.Wu, "Image thresholding using a novel estimation method in generalized Gaussian distribution mixture modeling," Neurocomput., vol. 72, no. 1-3, pp. 500-512, 2008.
16. J.-H. Xue, Y. J. Zhang, and X. G. Lin, "Rayleigh-distribution based minimum error thresholding for SAR images," J. Electron. (China), vol. 16, no. 4, pp. 336-342, 1999.
17. G. Moser and S. B. Serpico, "Generalized minimum-error thresholding for unsupervised change detection from SAR amplitude imagery," IEEE Trans. Geosci. Remote Sens., vol. 44, no. 10, pp. 2972-2982, 2006.
18. Y. Qiao, Q. Hu, G. Qian, S. Luo, and W. L. Nowinski, "Thresholding based on variance and intensity contrast," Pattern Recognit., vol. 40, no. 2, pp. 596-608, 2007. (Pubitemid 44635641)
19. B. L. Welch, "The generalization of 'Student's' problem when several different population variances are involved," Biometrika, vol. 34, no. 1-2, pp. 28-35, 1947.
20. F. E. Satterthwaite, "An approximate distribution of estimates of variance components," Biometr. Bull., vol. 2, no. 6, pp. 110-114, 1946.
21. H. Yan, "Unified formulation of a class of image thresholding techniques," Pattern Recognit., vol. 29, no. 12, pp. 2025-2032, 1996. (Pubitemid 126394634)
22. P. J. Rousseeuw and A. M. Leroy, Robust Regression and Outlier Detection. New York: Wiley, 1987.
23. J.-H. Xue and D. M. Titterington, "Median-based image thresholding," Image and Vision Computing, revised, 2011.