• DocumentCode
    582227
  • Title

    Mixed filter for noise suppression in an ultrasonic image

  • Author

    Haitao, Guo ; Xingjie, Liu ; Junpeng, Wu

  • Author_Institution
    Electr. Eng. Coll., Northeast Dianli Univ., Jilin, China
  • fYear
    2012
  • fDate
    25-27 July 2012
  • Firstpage
    3952
  • Lastpage
    3954
  • Abstract
    A mixed filter for noise suppression in the ultrasonic image is proposed. In the method, noise detection is operated in the ultrasonic image, and then the image is processed by the rank-ordered adaptive median filter on condition that the detected pixels contain salt and pepper noise, and then the logarithmic transformation of the image is operated, and then the transformed image is processed by the mean filter with fuzzy authorized values, and then the final image is obtained by the exponential transformation of the reprocessed image. A full description of the principle of the proposed method is given. The experimental results show that the proposed method is effective on noise suppression and edge preservation to the ultrasonic image from a small underwater target.
  • Keywords
    adaptive filters; edge detection; fuzzy set theory; geophysical image processing; interference suppression; median filters; object detection; ultrasonic imaging; underwater sound; edge preservation; exponential transformation; fuzzy authorized value; image processing; image reprocessing; image transformation; logarithmic transformation; mean filter; mixed filter; noise detection; noise suppression; pepper noise; pixel detection; rank ordered adaptive median filter; salt noise; ultrasonic image; underwater target; Acoustics; Adaptive filters; Educational institutions; Electronic mail; Filtering algorithms; Noise; Synthetic aperture sonar; Logarithmic Transformation; Mean Filter; Median Filter; Ultrasonic Image;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2012 31st Chinese
  • Conference_Location
    Hefei
  • ISSN
    1934-1768
  • Print_ISBN
    978-1-4673-2581-3
  • Type

    conf

  • Filename
    6390617