• DocumentCode
    2789983
  • Title

    An advanced segmentation using bit-plane slicing technique in extraction of lungs region

  • Author

    Kiran, Thapaliya ; Kwon, Goo-Rak

  • Author_Institution
    Dept. Infomation & Commun. Eng., Chosun Univ., Gwangju, South Korea
  • fYear
    2011
  • fDate
    4-6 Nov. 2011
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper presents the new method for the segmentation of pulmonary parenchyma. The proposed method is based on the bit-plane slicing technique. The original image is binarized using the bit-plane technique and among the different images the best binarized image is chosen. After the image is binarized, the labeling is done and the area of each label is calculated from which we obtained the next level of binarized image. Then the boundary tracing algorithm is applied to get the binarized image. The following steps show the automatic extraction of lungs area and experimental results has proved it´s significant.
  • Keywords
    feature extraction; lung; medical image processing; advanced segmentation; bit-plane slicing technique; boundary tracing algorithm; image processing; lungs region extraction; pulmonary parenchyma; Biological system modeling; Biomedical imaging; Computational modeling; Computer languages; Image segmentation; Labeling; Mathematical model; Area; Bit-Plane Slicing Technique; Boundary Tracing; Connected Component Labeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Internet (AH-ICI), 2011 Second Asian Himalayas International Conference on
  • Conference_Location
    Kathmandu
  • ISSN
    2157-0647
  • Print_ISBN
    978-1-4577-1087-2
  • Type

    conf

  • DOI
    10.1109/AHICI.2011.6113949
  • Filename
    6113949