Journal of Systems Engineering and Electronics ›› 2010, Vol. 21 ›› Issue (1): 31-36.doi: 10.3969/j.issn.1004-4132.2010.01.006

• DEFENCE ELECTRONICS TECHNOLOGY • Previous Articles     Next Articles

Fast segmentation approach for SAR image based on simple Markov random field

Xiaogang Lei∗, Ying Li, Na Zhao, and Yanning Zhang   

  1. Department of Computer Science, Northwestern Polytechnical University, Xi’an 710072, P. R. China
  • Online:2010-02-26 Published:2010-01-03
  • Supported by:

    This work was supported by the Specialized Research Found for the Doctoral Program of Higher Education (20070699013), the Natural Science Foundation of Shaanxi Province (2006F05), and the Aeronautical Science Foundation (05I53076).


Traditional image segmentation methods based on MRF converge slowly and require pre-defined weight. These disadvantages are addressed, and a fast segmentation approach based on simple Markov random field (MRF) for SAR image is proposed. The approach is firstly used to perform coarse segmentation in blocks. Then the image is modeled with simple MRF and adaptive variable weighting forms are applied in homogeneous and heterogeneous regions. As a result, the convergent speed is accelerated while the segmentation results in homogeneous regions and boarders are improved. Simulations with synthetic and real SAR images demonstrate the effectiveness of the proposed approach.