Zhao Long, Yan Tingjun. Performance evaluation of a terrain-aided navigation system under different accuracy of sensor[J]. Journal of Beijing University of Aeronautics and Astronautics, 2013, 39(8): 1016-1019. (in Chinese)
Citation: Wang Rui, Wang Lin, Yuan Yanet al. Region-based statistical signal processing scheme for image fusion[J]. Journal of Beijing University of Aeronautics and Astronautics, 2010, 36(2): 140-144. (in Chinese)

Region-based statistical signal processing scheme for image fusion

  • Received Date: 13 Jan 2009
  • Publish Date: 28 Feb 2010
  • A new image fusion scheme based on region statistical signal processing was proposed. The region growing technique using gray-level clustering was employed to segment the source images into different regions whose borderline represented with crack edge. The registered source images and their segmented mapping were decomposed into a multi-resolution representation with both low-frequency coarse information and high-frequency detail information respectively. The expectation maximization algorithm modeled with noise statistic distribution was used to fuse the low-frequency coarse information of the registered images,while the match and salience measures were applied to fuse the high-frequency detail information of the registered images. The final fused image was obtained by taking the inverse transform of the composite multi-resolution representations information. Fusion experiments on real world images indicate that the proposed method is effective and efficient, which achieves better performance than the most generic fusion method.

     

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