• DocumentCode
    2881491
  • Title

    Studies on segmentation and recognition marrow cells image

  • Author

    Zhenjie, Hou ; Shuoshi, Ma ; Xichun, Pei ; Xin, Pan

  • Author_Institution
    Coll. of Comput. & Inf. Eng., Inner Mongolia Agric. Univ., China
  • Volume
    2
  • fYear
    2005
  • fDate
    12-14 Oct. 2005
  • Firstpage
    1263
  • Lastpage
    1266
  • Abstract
    Aiming at the characteristics of the marrow cell image, proposed a new method to calculate local regularity and got a appropriate threshold using multi-fractal spectrum so that accurate edges of different kinds of cells can be detected. Adopted two neural networks: using principal component analysis based neural network (GHA) to acquire three principal components and using simulated annealing (SA) and BP network to class and recognize the marrow cells.
  • Keywords
    backpropagation; bone; cellular biophysics; image recognition; image segmentation; medical image processing; neural nets; principal component analysis; simulated annealing; BP network; image recognition; image segmentation; local regularity; marrow cells image; multifractal spectrum; neural networks; principal component analysis; simulated annealing; Cells (biology); Educational institutions; Equations; Fractals; Image edge detection; Image recognition; Image segmentation; Neural networks; Pixel; Principal component analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications and Information Technology, 2005. ISCIT 2005. IEEE International Symposium on
  • Print_ISBN
    0-7803-9538-7
  • Type

    conf

  • DOI
    10.1109/ISCIT.2005.1567097
  • Filename
    1567097