Two-stage joint non-causal filtering and segmentation of nonuniform images

Authors

  • S. V. Vishnevyy National Technical University of Ukraine "Kyiv Polytechnic Institute", Ukraine
  • Serhii Ya. Zhuk Igor Sikorsky Kyiv Polytechnic Institute, Kyiv, Ukraine https://orcid.org/0000-0002-0046-8450

DOI:

https://doi.org/10.3103/S0735272711100050

Keywords:

nonuniform image, texture, non-causal filtering, dynamic system with random structure, optimal algorithm, quasioptimal algorithm, a posteriori distribution law, two-stage approach

Abstract

The optimal and quasioptimal algorithms of two-stage non-causal filtering and segmentation of nonuniform images distorted by additive interference with independent values of samples have been synthesized on the basis of the mathematical tools of mixed Markov discrete time processes. The first stage involves the performance of one-dimensional joint filtering and segmentation of nonuniform images along rows and columns. The second stage involves the combining of estimates computed at the first stage. The analysis of the quasioptimal algorithm was performed by using the computer statistical simulation of model example.

References

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Published

2011-10-01

Issue

Section

Research Articles