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The journal of the Acoustical Society of Korea v.26 no.3E, 2007년, pp.104 - 110   피인용횟수: 1

Classification of Seabed Physiognomy Based on Side Scan Sonar Images

Sun, Ning   (Underwater Acoustic Communication Institute, Soongsil UniversityUU0000851  ); Shim, Tae-Bo   (Underwater Acoustic Communication Institute, Soongsil UniversityUU0000851  );
  • 초록

    As the exploration of the seabed is extended ever further, automated recognition and classification of sonar images become increasingly important. However, most of the methods ignore the directional information and its effect on the image textures produced. To deal with this problem, we apply 2D Gabor filters to extract the features of sonar images. The filters are designed with constrained parameters to reduce the complexity and to improve the calculation efficiency. Meanwhile, at each orientation, the optimal Gabor filter parameters will be selected with the help of bandwidth parameters based on the Fisher criterion. This method can overcome some disadvantages of the traditional approaches of extracting texture features, and improve the recognition rate effectively.


  • 주제어

    Seabed physiognomy classification .   Sonar images .   backscattering .   Texture feature .   Gabor filter .   Parameter constraint .   Optimal parameter.  

  • 참고문헌 (16)

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    12. W. Ying Li and L. Zhuo fu, S. Enfang, 'Sonar Image Classification Based on Directional Wavelet and Fuzzy Fractal Dimension,' Second IEEE Conference on Industrial Electronics and Applications, 118-120, 2007 
    13. J. M. Bell, M. J. Chantler, 'Side-Scan Sonar: A Directional Filter of Seabed Texture?,' IEE Proc -Radar, Sonar Navig, 146 (1), 118-120, 1999 
    14. Sun Nand S. Xu, M. Cao, 'Wall-Pasted Cell Segmentation Based on Gabor Filter with Parameter Constraint,' ICARCV 2006 
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  • 이 논문을 인용한 문헌 (1)

    1. 2008. "" The journal of the Acoustical Society of Korea, 27(e3): 77~83     

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