• DocumentCode
    2121825
  • Title

    RBC Image Segmentation Based on Shape Reconstruction and Multi-scale Surface Fitting

  • Author

    Wang, Ruihu ; MacCane, Brendan ; Fang, Bin

  • Author_Institution
    Coll. of Comput. Sci., Chongqing Univ., Chongqing, China
  • fYear
    2010
  • fDate
    24-26 Dec. 2010
  • Firstpage
    586
  • Lastpage
    589
  • Abstract
    The shape deformability of Red Blood Cell plays an important role in blood filterability. This paper proposed a combined approach for complex surface segmentation of Red Blood Cell. Firstly the individual cell was extracted using contour guiding method. Each pixel´s shading variation information was then used for 3D shape reconstruction. The recovered depth map of each image contributed to segment the shape through multi-scale surface fitting. The experimental result shown good results and obtained high classification accuracy.
  • Keywords
    blood; deformation; image classification; image reconstruction; image segmentation; medical image processing; surface fitting; 3D shape reconstruction; RBC image segmentation; blood filterability; contour guiding method; image classification; image depth map recovery; multiscale surface fitting; pixel shading variation information; red blood cell; shape deformability; surface segmentation; Image reconstruction; Image segmentation; Pixel; Reflectivity; Shape; Surface fitting; Surface reconstruction; Image Segmentation; Multi Scale; Red Blood Cell; Shape from Shading; Surface Fitting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Engineering (ISISE), 2010 International Symposium on
  • Conference_Location
    Shanghai
  • ISSN
    2160-1283
  • Print_ISBN
    978-1-61284-428-2
  • Type

    conf

  • DOI
    10.1109/ISISE.2010.159
  • Filename
    5945174