Image fusion based on probabilistic graphical model optimization

Hang Tan; Xian He Huang; Shu Yong Zhou; Hua Chun Tan; Bao Qiang Du

Image fusion based on probabilistic graphical model optimization

Hang Tan^*
, Xian He Huang
, Shu Yong Zhou
, Hua Chun Tan
, Bao Qiang Du

^*Corresponding author for this work

Advanced Research Institute of Multidisciplinary Science

University of Electronic Science and Technology of China
Xidian University

Research output: Contribution to journal › Article › peer-review

Abstract

Application graph cuts algorithm to optimization solution the equivalent energy function of Markov random field model for image fusion problem could not only obtain global optimal solution, but also can get significant calculation efficiency when compare with the simulated annealing algorithm for solving the same energy function of image fusion problem, simulation results show that the algorithm is feasible and efficient.

Original language	English
Pages (from-to)	10-13
Number of pages	4
Journal	Beijing Youdian Xueyuan Xuebao/Journal of Beijing University of Posts And Telecommunications
Volume	35
Issue number	5
Publication status	Published - Oct 2012

Keywords

Energy function
Image fusion
Markov random field
Probabilistic graphical model

Cite this

@article{8356715495e14e5eb5fc3487efc6e04b,

title = "Image fusion based on probabilistic graphical model optimization",

abstract = "Application graph cuts algorithm to optimization solution the equivalent energy function of Markov random field model for image fusion problem could not only obtain global optimal solution, but also can get significant calculation efficiency when compare with the simulated annealing algorithm for solving the same energy function of image fusion problem, simulation results show that the algorithm is feasible and efficient.",

keywords = "Energy function, Image fusion, Markov random field, Probabilistic graphical model",

author = "Hang Tan and Huang, \{Xian He\} and Zhou, \{Shu Yong\} and Tan, \{Hua Chun\} and Du, \{Bao Qiang\}",

year = "2012",

month = oct,

language = "English",

volume = "35",

pages = "10--13",

journal = "Beijing Youdian Xueyuan Xuebao/Journal of Beijing University of Posts And Telecommunications",

issn = "1000-5145",

publisher = "Beijing University of Posts and Telecommunications",

number = "5",

}

TY - JOUR

T1 - Image fusion based on probabilistic graphical model optimization

AU - Tan, Hang

AU - Huang, Xian He

AU - Zhou, Shu Yong

AU - Tan, Hua Chun

AU - Du, Bao Qiang

PY - 2012/10

Y1 - 2012/10

N2 - Application graph cuts algorithm to optimization solution the equivalent energy function of Markov random field model for image fusion problem could not only obtain global optimal solution, but also can get significant calculation efficiency when compare with the simulated annealing algorithm for solving the same energy function of image fusion problem, simulation results show that the algorithm is feasible and efficient.

AB - Application graph cuts algorithm to optimization solution the equivalent energy function of Markov random field model for image fusion problem could not only obtain global optimal solution, but also can get significant calculation efficiency when compare with the simulated annealing algorithm for solving the same energy function of image fusion problem, simulation results show that the algorithm is feasible and efficient.

KW - Energy function

KW - Image fusion

KW - Markov random field

KW - Probabilistic graphical model

UR - https://www.scopus.com/pages/publications/84870726639

M3 - Article

AN - SCOPUS:84870726639

SN - 1000-5145

VL - 35

SP - 10

EP - 13

JO - Beijing Youdian Xueyuan Xuebao/Journal of Beijing University of Posts And Telecommunications

JF - Beijing Youdian Xueyuan Xuebao/Journal of Beijing University of Posts And Telecommunications

IS - 5

ER -

Image fusion based on probabilistic graphical model optimization

Abstract

Keywords

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