Image thresholding based on the EM algorithm and the generalized Gaussian distribution

Pattern Recognition

Volumn 40, Issue 2, 2007, Pages 619-634

  Bazi, Yakoub ^a   Bruzzone, Lorenzo ^a   Melgani, Farid ^a  

^a UNIVERSITY OF TRENTO   (Italy)

Author keywords

Expectation Maximization algorithm; Generalized Gaussian distribution; Genetic algorithms; Image thresholding

Indexed keywords

APPROXIMATION THEORY; COMPUTER SIMULATION; GENETIC ALGORITHMS; IMAGE ANALYSIS; ITERATIVE METHODS; MATHEMATICAL MODELS; STATISTICAL METHODS;

EXPECTATION MAXIMIZATION ALGORITHMS; GAUSSIAN DISTRIBUTION; GAUSSIAN MODELS; IMAGE THRESHOLDING; STATISTICAL MODELS;

GRAPHIC METHODS;

EID: 33750381252     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2006.05.006     Document Type: Article

References (41)

1. Sund T., and Eilertsen K. An algorithm for fast adaptive binarization with applications in radiotherapy imaging. IEEE Trans. Med. Imaging 22 (2003) 22-28
2. Solihin Y., and Leedham C.G. Integral ratio: a new class of global thresholding techniques for handwriting images. IEEE Trans. Pattern Anal. Mach. Intell. 21 (1999) 761-768
3. Bhanu B. Automatic target recognition: state of the art survey. IEEE Trans. Aerosp. Electron. Syst. AES-22 (1986) 364-379
4. Bruzzone L., and Prieto D.F. Automatic analysis of the difference image for unsupervised change detection. IEEE Trans. Geosci. Remote Sensing 38 (2000) 1171-1182
5. Bruzzone L., and Prieto D.F. An adaptive and semiparametric and context-based approach to unsupervised change detection in multitemporal remote sensing images. IEEE Trans. Image Process. 11 (2002) 452-466
6. Rosin P.L., and Ioannidis E. Evaluation of global image thresholding for change detection. Pattern Recognition Lett. 24 (2003) 2345-2356
7. Chan F.H.Y., Lam F.K., and Zhu H. Adaptive thresholding by variational method. IEEE Trans. Image Process. 7 (1998) 468-473
8. Liu F., Song X., Luo Y., and Hu D. Adaptive thresholding based on variational background. Electron. Lett. 38 (2002) 1017-1018
9. Ridler T.W., and Calvard S. Picture thresholding using an iterative selection method. IEEE Trans. Syst. Man Cybern. SMC-8 (1978) 630-632
10. Trussell H.J. Comments on picture thresholding using an iterative selection method. IEEE Trans. Syst. Man Cybern. SMC-9 (1979) 311
11. Otsu N. A threshold selection method from gray-level histograms. IEEE Trans. Syst. Man Cybern. SMC-9 (1979) 62-66
12. Tsai W.H. Moment preserving thresholding: a new approach. Comput. Vision Graph. Image Process. 29 (1985) 377-393
13. Kapur J.N., Sahoo P.K., and Wong A.K.C. A new method for gray-level picture thresholding using the entropy of the histogram. Comput. Vision Graph. Image Process. 29 (1985) 273-285
14. Kittler J., and Illingworth J. Minimum error thresholding. Pattern Recognition 19 (1986) 41-47
15. Wong A.K.C., and Sahoo P.K. A grey-level threshold selection method based on maximum entropy principle. IEEE Trans. Syst. Man Cybern. 19 (1989) 866-871
16. Abutaleb A.S. Automated thresholding of gray-level pictures using two-dimensional entropies. Comput. Vision Graph. Image Process. 7 (1989) 22-32
17. Kurita T., Otsu N., and Abdelmalek N. Maximum likelihood thresholding based on population of mixture models. Pattern Recognition 25 (1992) 1231-1240
18. Li C.H., and Lee C.K. Minimum entropy thresholding. Pattern Recognition 26 (1993) 617-625
19. Brink A.D. Maximum entropy segmentation based on the autocorrelation function of the image histogram. Comput. Inform. Technol. 2 (1994) 77-85
20. Huang L.K., and Wang M.J. Image thresholding by minimizing the measures of fuzziness. Pattern Recognition 28 (1995) 41-51
21. Cheng H.D., Chen Y.H., and Jiang X.H. Thresholding using two-dimensional histogram and fuzzy entropy principle. IEEE Trans. Image Process. 9 (2000) 732-735
22. Tobias O.J., and Seara R. Image segmentation by histogram thresholding using fuzzy sets. IEEE Trans. Image Process. 11 (2002) 1457-1465
23. Lee S.U., Chung S.Y., and Park R.H. A comparative performance study of several global thresholding techniques for segmentation. Comput. Vision Graph. Image Process. 52 (1990) 171-190
24. Glasbey C.A. An analysis of histogram based thresholding algorithms. Proc. Graph. Models Image Process. 55 (1993) 532-537
25. Melgani F., Moser G., and Serpico S.B. Unsupervised change-detection methods for remote sensing images. Opt. Eng. 41 (2002) 3288-3297
26. Sezgin M., and Sankur B. Survey over image thresholding techniques and quantitative performance evaluation. J. Electron. Imaging 13 (2004) 146-168
27. Fwu J.K., and Djuric P.M. EM algorithm for image segmentation initialized by a tree structure scheme. IEEE Trans. Image Process. 6 (1997) 349-352
28. Do M.N., and Vetterli M. Wavelet-based texture retrieval using generalized Gaussian density and Kullback-Leibler distance. IEEE Trans. Image Process. 11 (2002) 146-158
29. Dempster A.P., Laird N.M., and Rubin D.B. Maximum likelihood from incomplete data via the EM algorithm. J. R. Stat. Soc. B 1 (1977) 1-38
30. McLachlan G., and Krishnan T. The EM Algorithm and Extensions (1997), Wiley, New York
31. Abramowitz M., and Stegun I.A. HandBook of Mathematical Tables (1970), Dover, New York
32. Press W.H., Flannery B.P., Teukolsky S.A., and Vetterling W.T. Numerical Recipes in C: The Art of Scientific Computing (1988), Cambridge University Press, Cambridge
33. Hastie T., and Tibshirani R. Discriminant analysis by Gaussian mixtures. J. R. Stat. Soc. B 58 (1996) 155-176
34. Roberts S., Husmeier D., Rezek I., and Penny W. Bayesian approaches to Gaussian mixture modeling. IEEE Trans. Pattern Anal. Mach. Intell. 20 (1998) 1133-1142
35. McLachlan G., and Peel D. Finite Mixture Models (2000), Wiley, New York
36. Goldberg D.E. Genetic Algorithms in Search, Optimization and Machine Learning (1989), Addison-Wesley, Reading, MA
37. Holland J.H. Adaptation in Natural and Artificial Systems (1975), University of Michigan Press, Ann Arbor, MI
38. Davis L. Handbook of Genetic Algorithms (1991), Van Nostrand Reinhold, New York
39. Lopes A., Touzi R., and Nezry E. Adaptive speckle filters and scene heterogeneity. IEEE Trans. Geosci. Remote Sensing 28 (1990) 992-1000
40. Rignot E.J.M., and Van Zyl J.J. Change detection techniques for ERS-1 SAR data. IEEE Trans. Geosci. Remote Sensing 31 (1993) 896-906
41. Duda R.O., Hart P.E., and Stork D.G. Pattern Classification (2000), Wiley, New York