BERKALA FISIKA
Vol 12, No 4 (2009): Berkala Fisika

Pembangkitan dan Pemulihan Citra Biner Markov Random Field (MRF) secara Stokastik Dengan Algoritma Markov Chain Monte Carlo (MCMC)

Adi, Kusworo (Unknown)
Bayu Suksmono, Andrian (Unknown)



Article Info

Publish Date
29 Mar 2012

Abstract

Ising model or the Spin Glass is a model used to solve the magnetic properties of materials and the occurrence of phase transitions from paramagnetic to ferromagnetic properties. Magnetization of the material comes from the vortex that has two kinds of electron spin, ie {-1 / 2, +1 / 2}. Both spin gives the direction of magnetization (North-South) that opposite. Two-dimensional Ising model (2D), often called a Markov Random Field (MRF). This model is a stochastic model that can represent the image texture. Result binary image generation MRF much affected by changes in temperature, the spin direction will be random if the environment inside a high enough temperature, ie above the critical tempertaur (or Currie temperature) Tc, at this kedaan paramagnetic material. Conversely, if the environmental temperature below Tc, then the material would be ferromagnetic. As for binary image restoration MRF is affected by noise levels and the number of iterations, the best results the image restoration process at the level of noise from 0 to 0.5.   Keywords:  image restoration, markov random field, stochastic

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Journal Info

Abbrev

berkala_fisika

Publisher

Subject

Physics

Description

BERKALA FISIKA adalah jurnal saintifik yang diterbitkan secara periodik 3 bulanan. Jurnal ini memuat kajian-kajian Fisika baik kajian teoretik maupun hasil eksperimen. Jurnal ini juga memberi ruang yang luas bagi kajian – kajian aplikasi fisika dalam bidang teknologi, ilmu-ilmu hayati dan ...