• DocumentCode
    384223
  • Title

    Anchor point thinning using a skeleton based on the Euclidean distance transformation

  • Author

    Mekada, Yoshito ; Toriwaki, Junichiro

  • Author_Institution
    Graduate Sch. of Eng., Nagoya Univ., Japan
  • Volume
    3
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    923
  • Abstract
    Thinning is one of the most frequently used methods to obtain the geometrical features of objects. It also provides the topological feature and length measurements about an object. The paper presents a three dimensional thinning method which can control the quality of result concerning appearance of spurious short branches by a parameter value. This method is constructed by integrating the anchor point thinning algorithm and the skeletonization algorithm based upon the Euclidean metric. We applied the proposed method to artificial figures and a three dimensional bronchus region extracted from a real chest X-ray CT image and confirmed that the proposed method could control the number of spike branches and shrinkage of branches.
  • Keywords
    computerised tomography; image thinning; lung; medical image processing; Euclidean distance transformation; anchor point thinning; branch shrinkage; bronchus; chest X-ray CT image; geometrical feature; length measurements; skeleton; skeletonization algorithm; spike branches; topological feature; tree structure; Computed tomography; Euclidean distance; Length measurement; Shape; Skeleton; X-ray imaging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2002. Proceedings. 16th International Conference on
  • ISSN
    1051-4651
  • Print_ISBN
    0-7695-1695-X
  • Type

    conf

  • DOI
    10.1109/ICPR.2002.1048186
  • Filename
    1048186