• DocumentCode
    3085838
  • Title

    Enhancing ultrasound images using the recursive p-step unbiased FIR filter

  • Author

    Morales-Mendoza, Luis J. ; Vazquez-Bautista, R.F. ; Calderon-Ramon, C. ; Martinez-Castillo, Jaime ; Morales-Mendoza, E. ; Shmaliy, Yuriy S.

  • Author_Institution
    Dept. of Electron. & Commun. Eng., Veracruzana Univ., Poza Rica, Mexico
  • fYear
    2012
  • fDate
    26-28 Sept. 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In this paper, we present a computational scheme for the implementation of p-step UFIR filter ultrasound image processing. The recursive scheme is focused both signal to noise ratio and root mean-square-error on filter improved performance. In this way, quantitative evaluations are computed to verify the performance carried out by the new recursive computational scheme under metrics. On the other hand, qualitative evaluations are showed for both cases: signals (one dimensional) and images (two dimensional). Finally, this efficient computational algorithm manifests an outstanding signal/image enhancing with strong metric convergence despite the computational complexity.
  • Keywords
    FIR filters; biomedical ultrasonics; convergence of numerical methods; image enhancement; image segmentation; mean square error methods; medical image processing; computational algorithm; computational complexity; metric convergence; qualitative evaluations; recursive p-step UFIR filter ultrasound image processing; root mean-square-error method; signal-to-noise ratio; ultrasound image enhancement; ultrasound image segmentation; Filtering algorithms; Finite impulse response filter; Noise; Noise measurement; Polynomials; Ultrasonic imaging; Wiener filters; Recursive Scheme; Ultrasound images; Unbiased FIR filters;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Engineering, Computing Science and Automatic Control (CCE), 2012 9th International Conference on
  • Conference_Location
    Mexico City
  • Print_ISBN
    978-1-4673-2170-9
  • Type

    conf

  • DOI
    10.1109/ICEEE.2012.6421163
  • Filename
    6421163