• DocumentCode
    557730
  • Title

    A new model and its application in segmentation and denoising of schistosoma eggs

  • Author

    Li, Zhengyu ; Yao, Zhengan ; Wu, Zhongdao ; Zhengyu Li

  • Author_Institution
    Dept. of Math. & Comput. Sci., Sun Yat-sen Univ., Guangzhou, China
  • Volume
    3
  • fYear
    2011
  • fDate
    15-17 Oct. 2011
  • Firstpage
    1140
  • Lastpage
    1145
  • Abstract
    In this work, we propose a minimizing functional based on Mumford-Shah model, which provides a model for image segmentation and smoothing. The paper analyzes the physical characteristics of the related modified Poisson equation in local coordinates and explains that diffusion behavioral is superior to isotropic diffusion in essence. Thus our model is more suitable for segmentation and smoothing while simultaneously preserving edges than the piecewise smooth Mumford-Shah (PSMS) model on noisy images with intensity inhomogeneities. The model is finally applied on a wide variety of image segmentation and denoising of schistosoma eggs. All these results show that the proposed model is effective.
  • Keywords
    Poisson equation; biology computing; image denoising; image segmentation; medical image processing; Mumford-Shah model; Poisson equation; diffusion behavioral; image segmentation; image smoothing; isotropic diffusion; minimizing functional; schistosoma egg denoising; schistosoma egg segmentation; Image edge detection; Image segmentation; Level set; Mathematical model; Noise measurement; Numerical models; Smoothing methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing (CISP), 2011 4th International Congress on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-9304-3
  • Type

    conf

  • DOI
    10.1109/CISP.2011.6100400
  • Filename
    6100400