ISSN 0253-2778

CN 34-1054/N

Open AccessOpen Access JUSTC

A SAR image segmentation algorithm based on local median fitting C-V model

Cite this:
https://doi.org/10.3969/j.issn.0253-2778.2012.01.009
  • Received Date: 25 May 2011
  • Rev Recd Date: 06 July 2011
  • Publish Date: 31 January 2012
  • A novel SAR image segmentation algorithm LMFCV-SIS based on local median fitting (LMF) C-V model was proposed according to the characteristics of SAR images. The main idea of the algorithm is to use the LMF of the pixel and its neighbors to form an energy and the final evolution of the curve was given by the minimization of the energy. The performance of the approach was verified by plenty of real airborne SAR images and the experimental results from the real data show its efficiency and accuracy.
    A novel SAR image segmentation algorithm LMFCV-SIS based on local median fitting (LMF) C-V model was proposed according to the characteristics of SAR images. The main idea of the algorithm is to use the LMF of the pixel and its neighbors to form an energy and the final evolution of the curve was given by the minimization of the energy. The performance of the approach was verified by plenty of real airborne SAR images and the experimental results from the real data show its efficiency and accuracy.
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