• DocumentCode
    3573575
  • Title

    Microalgae image denoising algorithm based on stack

  • Author

    Xianjiu Guo ; Chunyun Geng

  • Author_Institution
    Coll. of Inf. Eng., Dalian Ocean Univ., Dalian, China
  • fYear
    2014
  • Firstpage
    5088
  • Lastpage
    5091
  • Abstract
    The algorithm based on stack to remove the small area noises in binary microalgae image is presented in this paper. The denoising of image is accomplished by using this algorithm through scanning image one time. The new algorithm not only preserves signal´s original features, but also has stronger ability to remove noise. The numerical experiments have shown that the algorithm is very effective in noise reduction, and is better than traditional method in complexity and running time of the image denoising.
  • Keywords
    biology computing; image denoising; microorganisms; image scanning; microalgae image denoising algorithm; noise reduction; small area noise removal; stack method; Algorithm design and analysis; Color; Complexity theory; Educational institutions; Image denoising; Noise; Noise reduction; Binary image; Image denoising; Microalgae; Stack method;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation (WCICA), 2014 11th World Congress on
  • Type

    conf

  • DOI
    10.1109/WCICA.2014.7053579
  • Filename
    7053579