• DocumentCode
    2249088
  • Title

    To determine neighborhoods in ultrasound image denoising

  • Author

    Liao, Zhiwu ; Hu, ShaoXiang ; Wang, Jianjun ; Yu, Zhiqiang

  • Author_Institution
    Visual Comput. & Virtual Reality Key Lab. Of Sichuan Province, Sichuan Normal Univ., Chengdu, China
  • Volume
    6
  • fYear
    2010
  • fDate
    11-14 July 2010
  • Firstpage
    3128
  • Lastpage
    3133
  • Abstract
    Ultrasound images are effected by serious noises. In this paper, we propose an adaptive method by determining a variable neighborhood of each pixel in ultrasound image denoising. The real neighbors of a pixel can be chosen according to the local energy of the pixel, the distance between the pixel and its close pixels, the requirement of reliable estimate. All of the real neighbors of a pixel form a neighborhood, named the real neighborhood (RN) of the pixel. The RNs can preserve edges and obtain reliable estimates simultaneously, which can not be met at the same time and becomes a tradeoff problem in existing methods. The experiments also show better performance both in denoising and edges preserving than the state-of-art techniques.
  • Keywords
    image denoising; image enhancement; ultrasonic imaging; adaptive method; edge preserving; local energy; real neighborhood; ultrasound image denoising; variable neighborhood determination; Image edge detection; Noise reduction; Ultrasound image denoising; adaptive denoising; edge preserving; neighborhood; neighbors; reliable estimate;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics (ICMLC), 2010 International Conference on
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-1-4244-6526-2
  • Type

    conf

  • DOI
    10.1109/ICMLC.2010.5580729
  • Filename
    5580729