Joint Filtering and Segmentation of Non-uniform Random Fields with Exponentially Correlated Textures

Authors

DOI:

https://doi.org/10.20535/RADAP.2009.39.47-53

Keywords:

image filtering, image segmentation, random field, texture

Abstract

It’s synthesized the optimal and kvazioptimal algorithms of joint filtering and segmentation of non-uniform random fields with exponentially correlated textures. The presented algorithms are based on the mixed Markov processes in discrete time. The analysis of kvazioptiamal algorithm is done on the model example with using the statistical modeling on computer.

Author Biographies

  • S. V. Vishnevyy, National Technical University of Ukraine, Kyiv Politechnic Institute, Kiev
    Вишневий С. В., аспірант каф. радіотехнічних пристроїв та систем радіотехнічного факультету
  • S. Ya. Zhuk, National Technical University of Ukraine, Kyiv Politechnic Institute, Kiev
    Жук С.Я., д.т.н., проф. кафедри радіотехнічних пристроїв та систем

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Published

2012-11-24

Issue

Section

Telecommunication, navigation, radar systems, radiooptics and electroacoustics

How to Cite

“Joint Filtering and Segmentation of Non-uniform Random Fields with Exponentially Correlated Textures” (2012) Visnyk NTUU KPI Seriia - Radiotekhnika Radioaparatobuduvannia, (39), pp. 47–53. doi:10.20535/RADAP.2009.39.47-53.

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