吉林大学学报(工学版) ›› 2012, Vol. 42 ›› Issue (01): 228-233.

• paper • Previous Articles     Next Articles

Sonar image segmentation based on spectral matting using morphological operations

LIU Guang-yu1, BIAN Hong-yu1, SHI Hong2   

  1. 1. College of Underwater Acoustics Engineering,Harbin Engineering University,Harbin 150001,China;
    2. College of Information and Communication Engineering,Harbin Engineering University,Harbin 150001,China
  • Received:2010-05-13 Online:2012-01-01 Published:2012-01-01

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Abstract:

Based on the link between digital matting and image segmentation, a sonar image segmentation method using spectral matting and morphological operations was proposed. First, the effect of sonar image shadows of and background nonuniformity were removed and the image was enhanced through morphological top-hat transformation and bottom-hat transformation. Then, the alpha value of the digital matting was taken into consideration in image segmentation; the threshold value was obtained by the global average iteration method; and the segmentation results were obtained by threshold process of the alpha images. Finally, simulation experiments were conducted to compare the proposed segmentation method with existing popular segmentation methods. The results show that the proposed method is more suitable for sonar image segmentation and the output pictures are more reliable with more details than other methods.

Key words: information processing, sonar image segmentation, spectral matting, morphological operations

CLC Number: 

  • TN919.8


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