• DocumentCode
    2681062
  • Title

    A Tracking Algorithm Based on Fractional Differential Gradient within 3D Image

  • Author

    Yu, Ma ; Yanning, Zhang ; Huiling, Liang ; Shuang, Xu ; Ting, Yu

  • Author_Institution
    Inst. of Comput. Sci., Northwestern Polytech. Univ., Xi´´an, China
  • fYear
    2012
  • fDate
    28-30 May 2012
  • Firstpage
    696
  • Lastpage
    699
  • Abstract
    Based on fractional derivative gradient, tracking operator is proposed to extract three-dimensional boundary surface within biomedical image. Firstly, the gradient and zero-crossing are calculated via the integer order derivative to extract the main structure of three-dimensional boundary surface. Then the slice images are enhanced by fractional differential, based on coplanar principle, the detailed subtle structures are tracked in three-dimensional images. The experimental result indicates that the method can track more detailed subtle three-dimensional structures. The improved tracking algorithm illustrates a good prospect of application and extension to other 3D biomedical image analyses and researches by comparing with the traditional boundary surface tracking algorithm.
  • Keywords
    gradient methods; image enhancement; medical image processing; target tracking; 3D biomedical image analyses; boundary surface tracking algorithm; coplanar principle; fractional differential gradient; integer order derivative; slice image enhancement; three-dimensional boundary surface extraction; three-dimensional structures; tracking operator; zero-crossing; Algorithm design and analysis; Biomedical imaging; Data mining; Data visualization; Educational institutions; Image edge detection; Rendering (computer graphics); 3D; biomedical image; edge surface tracking algorithm; fractional derivative; image enhancement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Engineering and Biotechnology (iCBEB), 2012 International Conference on
  • Conference_Location
    Macau, Macao
  • Print_ISBN
    978-1-4577-1987-5
  • Type

    conf

  • DOI
    10.1109/iCBEB.2012.44
  • Filename
    6245214