• DocumentCode
    2487776
  • Title

    Image denoising algorithm based on the median morphological filter

  • Author

    Zhu, Youlian ; Huang, Cheng ; Xu, Zhihuo

  • Author_Institution
    Coll. of Electron. Inf. Eng., Jiangsu Teachers Univ. of Technol., Changzhou
  • fYear
    2008
  • fDate
    25-27 June 2008
  • Firstpage
    3985
  • Lastpage
    3989
  • Abstract
    With respect to the instance of image denoising by morphological filter that causes useful information missing, a new median morphological filter algorithm is presented. The algorithm does the median value operation through erosion and dilation operations, improves and optimizes structuring element units. The experiment proves that the new method overcomes the inherent inadequate of traditional morphological limit operation, and effectively removes the impulse noise of image; especially in low signal to noise ratio environment, the denoising performance has obvious advantages than the traditional morphological filter and median filter algorithms. Therefore, it has a broad application prospect in image processing.
  • Keywords
    image denoising; mathematical morphology; median filters; image denoising algorithm; image processing; mathematical morphology; median morphological filter; median value; Automation; Educational institutions; Image denoising; Image processing; Information filtering; Information filters; Intelligent control; Noise reduction; Signal to noise ratio; Working environment noise; image de-noising; mathematical morphology; structuring element unit (SEU);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
  • Conference_Location
    Chongqing
  • Print_ISBN
    978-1-4244-2113-8
  • Electronic_ISBN
    978-1-4244-2114-5
  • Type

    conf

  • DOI
    10.1109/WCICA.2008.4593567
  • Filename
    4593567