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195. Besag J. E. On the Statistical Analysis of Dirty Pictures. Journal of the Royal

Statistical Society. Series B. 1986. Vol. 48, No 3. P. 259–302.

196. Haralick R. M. Statistical and structural approaches to textures Proc. IEEE.

1979. Vol. 67. P. 786–804.

197. Levine M. Vision in Man and Machine, McGraw-Hill. 1985. 574 p.

198. Adamek T. and O’Connor N. Stopping Region-based Image Segmentation at

Meaningful Partitions Semantic Multimedia. Springer. Berlin. 2007. P. 15–27.

199. Chen Y. and Dougherty E. Grey-Scale Morphological Granulometric Texture

Classification Optical Engineering. 1994. Vol. 33, No 8. P. 2713-2722.

200. Serra J. Image Analysis and Mathematical Morphology, Academic Press, 1982.

610 p.

201. Weszka J., Deya C. and Rosenfeld A. A Comparative Study of Texture

Measures for Terrain Classification IEEE Trans. System, Man and Cybernetics. 1976.

No 6. P. 269-285.

202. Julesz B. Experiments in the Visual Perception of Texture Scientific American.

1975. Vol. 232, No 4. P. 34-43.

203. Niemann, H. Pattern analysis and understanding / Springer-Verlag, 1990. 371 p.

204. Chellappa R. and Chatterjee S. Classification of Textures Using Gaussian

Markov Random Fields IEEE Trans. Acoustic, Speech and Signal Processing. 1985.

Vol. 33, No 4. P. 959-963.

205. Cross G. and Jain A. Markov Random Field Texture Models IEEE Trans.

Pattern Analysis and Machine Intelligence. 1983. Vol. 5, No 1. P. 25-39.

206. Povlow B. and Dunn S. Texture Classification Using Noncausal Hidden

Markov Models IEEE Trans. Pattern Analysis and Machine Intelligence. 1995. Vol.

17, No 10. P. 1010-1014.

207. Strzelecki M. and Materka A. Markov Random Fields as Models of Textured

Biomedical Images Proc. 20th National Conf. Circuit Theory and Electronic

Networks KTOiUE ’97, Kołobrzeg, Poland. 1997. P. 493-498.