• DocumentCode
    2473176
  • Title

    A 3-D bilateral filter for speckle reduction in 3-D ultrasound images for cattle follicle segmentation

  • Author

    Tang, Jinshan ; Guo, Shengwen

  • Author_Institution
    Sch. of Technol., Michigan Technol. Univ., Houghton, MI, USA
  • fYear
    2012
  • fDate
    14-17 Oct. 2012
  • Firstpage
    2485
  • Lastpage
    2488
  • Abstract
    In this paper, we investigate the reduction of speckles in 3-D ultrasound images using a 3-D bilateral filter for cattle follicle segmentation and volume estimation. Adaptive 3-D bilateral filter is developed to reduce the speckles in the ultrasound images effectively. We compared the proposed 3-D bilateral filter with the conventional 3-D bilateral filter and 3-D Gaussian filter using both 3-D synthetic speckled images and real ultrasound images. Quantitative analysis verified the effectiveness of the proposed method.
  • Keywords
    image denoising; image enhancement; image segmentation; ultrasonic imaging; 3D Gaussian filter; 3D synthetic speckled images; 3D ultrasound images; adaptive 3D bilateral filter; cattle follicle segmentation; quantitative analysis; real ultrasound images; ultrasound image speckle reduction; volume estimation; Filtering algorithms; Image edge detection; Imaging; Noise; Speckle; Ultrasonic imaging; Ultrasonic variables measurement; 3-D ultrasound image; Bilateral filter; Nomalized gradient; Volume; cattle follicles; speckles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics (SMC), 2012 IEEE International Conference on
  • Conference_Location
    Seoul
  • Print_ISBN
    978-1-4673-1713-9
  • Electronic_ISBN
    978-1-4673-1712-2
  • Type

    conf

  • DOI
    10.1109/ICSMC.2012.6378117
  • Filename
    6378117