Journal of Beijing University of Posts and Telecommunications

  • EI核心期刊

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2012, Vol. 35 ›› Issue (5): 10-13.doi: 10.13190/jbupt.201205.10.tan

• Papers • Previous Articles     Next Articles

Image Fusion Based on Probabilistic Graphical Model Optimization

TAN Hang, HUANG Xian-he, ZHOU Shu-yong, TAN Hua-chun, DU Bao-qiang   

  1. 1. College of Automation Engineering, University of Electronic Science and Technology of China2. School of Mechanical and Vehicular Engineering, Beijing Institute of Technology3. Institute of Information and Data Processing, Xidian University
  • Received:2012-05-27 Revised:2012-06-14 Online:2012-10-28 Published:2012-07-06
  • Contact: Hang Tan E-mail:tanhang2011@126.com

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.

Key words: probabilistic graphical model, Markov random field, energy function, image fusion

CLC Number: