• DocumentCode
    1609994
  • Title

    A Vessel Extraction Algorithm Based on Point Balance

  • Author

    Hong, Wei ; Mou, Xuanqin ; Long, Ying ; Jiang, Lingqiu

  • Author_Institution
    Inst. of Image Process., Xi´´an Jiaotong Univ.
  • fYear
    2006
  • Firstpage
    1611
  • Lastpage
    1613
  • Abstract
    The article presents a concept of balance among image points based on the correlation of points and then develops a new binarization method for gray scale image, which can be used in vessel extraction of DSA images. A point is in balance only when its resistance counteracts the influence from the neighborhood, while noise breaks down such balance. By restoring the balance of every single point, the image can be a balance system, and most noise can been removed. The balance image turns into a binary image after segmentation by threshold. Experiments show that the algorithm has satisfactory effect on brain DSA images
  • Keywords
    blood vessels; brain; diagnostic radiography; feature extraction; image segmentation; medical image processing; binarization method; brain DSA images; digital subtraction angiography; gray scale image; image segmentation; noise; point balance; vessel extraction algorithm; Arteries; Background noise; Biomedical imaging; Blood vessels; Frequency; Histograms; Image restoration; Image segmentation; Immune system; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
  • Conference_Location
    Shanghai
  • Print_ISBN
    0-7803-8741-4
  • Type

    conf

  • DOI
    10.1109/IEMBS.2005.1616746
  • Filename
    1616746