• DocumentCode
    2146590
  • Title

    Laplacian Operator Based Level Set Segmentation Algorithm for Medical Images

  • Author

    Huang, Hui ; Jiang, Jionghui

  • Author_Institution
    Coll. of Phys. & Electron. Inf. Eng., Wenzhou Univ., Wenzhou, China
  • fYear
    2009
  • fDate
    17-19 Oct. 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Considering the features of virtual human images, a Laplacian operator based level set algorithm and the analytic expression of level set equation is deduced. The algorithm is implemented using narrow band method numerically. The algorithm combines the advantages of Laplacian operator which can orient the boundary accurately and the idea that level set method continuously evolves the boundary in image space. Experiments show that the algorithm calculates the result precisely with good anti-jamming property and fast computing speed. Fine results can be obtained by using this algorithm.
  • Keywords
    image segmentation; medical image processing; set theory; Laplacian operator; level set equation; level set segmentation algorithm; medical images; narrow band method; virtual human images; Biomedical imaging; Data mining; Deformable models; Educational institutions; Humans; Image reconstruction; Image segmentation; Laplace equations; Level set; Medical diagnostic imaging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing, 2009. CISP '09. 2nd International Congress on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-1-4244-4129-7
  • Electronic_ISBN
    978-1-4244-4131-0
  • Type

    conf

  • DOI
    10.1109/CISP.2009.5303765
  • Filename
    5303765