REFERENCES
- Bonnet N, Cutrona J, Herbin M. A ‘no-threshold’ histogram-based image segmentation method. Pattern Recogn., 2002, 35, 2319–2322.
- Qin AK, Clausi DA. Multivariate image segmentation using semanticregion growing with adaptive edge penalty. IEEE Trans. Image Process., 2010, 19, 2157–2170.
- Gonzalez RC, Woods RE. Digital Image Processing, 2008 (Prentice Hall, Upper Saddle River, NJ).
- Papamichail GP, Papamichail DP. The k-means range algorithm for personalized data clustering in e-commerce. Eur. J. Oper. Res., 2007, 177, 1400–1408.
- de A. T. de Carvalho F. Fuzzy c-means clustering methods for symbolic interval data. Pattern Recogn. Lett., 2007, 28, 423–437.
- Li SZ. Markov Random Field Modeling in Image Analysis, 2001 (Springer, Tokyo).
- Kindermann R, Snell JL. Markov Random Fields and their Applications, 1980 (American Mathematical Society, Providence, RI).
- Chellappa R. Two dimensional discrete Gaussian Markov random field models for image processing. Prog. Pattern Recogn., 1985, 2, 79–112.
- Daily MJ. Color image segmentation using Markov random fields, Proc. DARPA Image Understanding Workshop, Palo Alto, CA, USA, May 1989, DAPRA, pp. 304–312.
- Geman S, Geman D. Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images. IEEE Trans. Pattern Anal. Mach. Intell., 1984, 6, 721–741.
- Descombes X, Sigelle M, Prêteux F. Estimating Gaussian Markov random field parameters in a nonstationary framework: application to remote sensing imaging. IEEE Trans. Image Process., 1999, 8, 490–503.
- Yazhong, L., Wufan, C. and Chan, F. H. Y. Multiclass segmentation based on generalized fuzzy Gibbs random fields. Proc. 2003 int. Conf. on Image processing: Barcelona, Spain, September 2003, ICIP 2003, IEEE, Vol. 3, pp. 399–402.
- Yang F, Jiang T. Pixon-based image segmentation with Markov random fields. IEEE Trans. Image Process., 2003, 12, 1552–1559.
- Lu Q, Jiang T. Pixon-based image denoising with Markov random fields. Pattern Recogn., 2001, 34, 2029–2039.
- Demirkaya O, Asyali MH, Shoukri MM. Segmentation of cDNA microarray spots using Markov random field modeling. Bioinformatics, 2005, 21, 2994–3000.
- Piña RK, Pueter RC. Bayesian image reconstruction: the pixon and optimal image modeling. Publ. Astron. Soc. Pac., 1993, 105, 630–637.
- Puetter RC. Pixon-based multiresolution image reconstruction and the quantification of picture information content. Int. J Imaging Syst. Technol., 1995, 6, 314–331.
- Gilboa G, Sochen N, Zeevi YY. PDE-based denoising of complex scenes using a spatially-varying fidelity term, Proc. 2003 Int. Conf. on Image processing: ICIP 2003, Barcelona, Spain, September 2003, IEEE, Vol. 1, pp. 865–868.
- DIPimage Databases [cited 11–12 April 2007]. Available at: <http://imageprocessingplace.com/DIP/dip_image_dabases/image_databases.htm>