• DocumentCode
    2902770
  • Title

    Study of mixed filters schemes for denoising the medical ultrasound images

  • Author

    Al Youzbaki, Yasameen ; Pasca, Sever

  • Author_Institution
    Dept. of Appl. Electron. & Inf. Eng., Univ. “Politeh.” of Bucharest, Bucharest, Romania
  • fYear
    2015
  • fDate
    7-9 May 2015
  • Firstpage
    289
  • Lastpage
    294
  • Abstract
    The medical ultrasound images are usually tainted by a kind of noise called “speckle”. This noise is caused by the logical nature of the spreading occurrence. A simple hybrid scheme (combining Wiener and Mean filters) was designed in previous work [1] for denoising the medical ultrasound image. A performance comparison was made between the designed hybrid scheme and other filters (Wiener, Wavelet, Mean, Median and M3 filters) as stand alone filters. This paper presents our study which builds upon the above hybrid scheme by mixing filters (Mean, Median, M3, or the recommended Wavelet filter) with Wiener filter. These filters all have the window size 3:3 and are completed by a designed simple adaptive filter. The performance comparison will be between the four mixed filter schemes above, to study their efficiency of denoising the medical ultrasound images. The version of the simple adaptive filter is dependent on the nonlinear gain function. The idea will be implemented by using the MATLAB program.
  • Keywords
    Wiener filters; adaptive filters; biomedical ultrasonics; image denoising; image filtering; medical image processing; speckle; statistical analysis; wavelet transforms; M3 filter; MATLAB program; Wiener filter; adaptive filter design; denoising efficiency; filter window size; hybrid filter scheme design; mean filter; median filter; medical ultrasound image denoising; mixed filter scheme; nonlinear gain function dependence; performance comparison; speckle; spreading occurrence; wavelet filter; Adaptive filters; Maximum likelihood detection; Noise; Nonlinear filters; Speckle; Ultrasonic imaging; Wiener filters; denoising filter; ultrasound medical images;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Topics in Electrical Engineering (ATEE), 2015 9th International Symposium on
  • Conference_Location
    Bucharest
  • Type

    conf

  • DOI
    10.1109/ATEE.2015.7133782
  • Filename
    7133782