Two-stage mutual causal filtration and segmentation of heterogeneous images
DOI:
https://doi.org/10.3103/S0735272711010067Keywords:
heterogeneous image, quasi-optimal algorithmAbstract
Using the mathematical technique of mixed Markovian processes in discrete time optimal and quasi-optimal algorithms that combine results of one-dimensional filtration and segmentation of heterogeneous images are synthesized. Analysis of the quasi-optimal algorithm is conducted on a model example using statistical modeling on PC.
References
- R. C. Gonzalez and R. E. Woods, Digital Image Processing (Prentice Hall, New Jersey, 2002; Tekhnosfera, Moscow, 2005).
- Y. J. Zhang, Advances in Image and Video Segmentation (IRM Press, Hershey–London–Melbourne–Singapore, 2006).
- A. K. Jain, Fundamentals of Digital Image Processing (Prentice Hall, New Jersey, 1989).
- B. Jhne, Digital Image Processing (Springer, Berlin–Heidelberg–New York–Barcelona–Hong Kong–London–Milan–Paris–Tokyo, 2002).
- W. Pratt, Digital Image Processing (John Wiley & Sons Inc., New York, 1991; Mir, Moscow, 1982).
- Methods of Computer Image Processing (Fizmatlit, Moscow, 2003) [in Russian, ed. by V. А. Soyfer].
- I. S. Gruzman, V. I. Mikerin, and А. А. Spector, “Two-stage images filtering on the basis of using limited data,” Radiotekh. Elektron., No. 5, 817 (1995).
- S. Ya. Zhuk, “Joint filtering of mixed Markov processes in discrete time,” Radioelectron. Commun. Syst., v.31, n.1, p.29-35, 1988.
- S. Ya. Zhuk, Methods of Optimizing Discrete Dynamic Systems with Random Structure (NTUU KPI, Kyiv, 2008) [in Russian].
- S. V. Vishnevyy and S. Ya. Zhuk, “Mutual filtering and segmentation of heterogeneous random fields with exponentially correlated textures,” Visnyk NTUU KPI. Ser. Radiotekhnika. Radioaparatobuduvannya, No. 39, 47 (2009).
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Published
2011-01-01
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Research Articles