• DocumentCode
    176428
  • Title

    Mixed noise reduction method based on fuzzy morphological filtering

  • Author

    Zhu Youlian ; Huang Cheng ; Zhai Lifang ; Pan Lingjiao

  • Author_Institution
    Sch. of Electr. & Inf. Eng., Jiangsu Univ. of Technol., Changzhou, China
  • fYear
    2014
  • fDate
    May 31 2014-June 2 2014
  • Firstpage
    2970
  • Lastpage
    2973
  • Abstract
    To remove mixed noises from the image, we studied the noise reduction performance of fuzzy morphological filter and introduce a new method to reduce noise. Firstly, the method uses S-function to fuzz an image, and then do fuzzy morphological opening-closing operation with the fuzzed image. To improve the noise reduction performance, we adopt double structural elements which combined fuzzy square structural elements with fuzzy linear structural elements. Experiment show that the proposed method may effectively reduce impulse noise, Gaussian noise, and mixed noise. Especially, it has obvious advantages in dealing with the image that has serious impulse noise.
  • Keywords
    Gaussian noise; filtering theory; fuzzy set theory; image denoising; impulse noise; white noise; Gaussian noise; S-function; double structural elements; fuzzy linear structural elements; fuzzy morphological filtering; fuzzy square structural elements; image denoising; impulse noise; mixed noise reduction method; Filtering theory; Gaussian noise; Morphological operations; Morphology; Noise reduction; Fuzzy Function; Image Noise Reduction; Morphological Filtering; Structural Element (SE);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (2014 CCDC), The 26th Chinese
  • Conference_Location
    Changsha
  • Print_ISBN
    978-1-4799-3707-3
  • Type

    conf

  • DOI
    10.1109/CCDC.2014.6852682
  • Filename
    6852682