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Метод определения размера модели Марковского случайного поля

Метод определения размера модели Марковского случайного поля

Abstract

В статье разрабатывается и исследуется метод определения одного из наиболее важных параметров Марковского случайного поля, необходимого для корректного моделирования текстурных изображений. В ходе исследований осуществляется корреляционный анализ значений пикселей окрестностей с целью исследования их взаимосвязи и принятия решения о размере модели.

The method calculation of significant parameter of Markov random fields for correct modelling of textured images is researched and investigated in this work. To determine the model's size the correlation analysis of neighbor pixels intensity is used in this investigation.

Keywords

МАРКОВСКИЕ СЛУЧАЙНЫЕ ПОЛЯ, РАЗМЕР МОДЕЛИ, СЕГМЕНТАЦИЯ ИЗОБРАЖЕНИЙ

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average