• DocumentCode
    685047
  • Title

    The segmentation method of degree-based fusion algorithm for coronary angiograms

  • Author

    Wenwei Kang ; Wenying Kang ; Yang Li ; Qingzhu Wang

  • Author_Institution
    Coll. of Commun. Eng., Jilin Univ., Changchun, China
  • Volume
    01
  • fYear
    2013
  • fDate
    16-18 Aug. 2013
  • Firstpage
    696
  • Lastpage
    699
  • Abstract
    In allusion to the low contrast of the image between the backdrop and the small blood vessels, the blurred and fuzzy background of coronary artery image, a new blood vessel extraction method based on degree is proposed. First of all, two enhanced coronary angiograms are obtained from the original image by using two different image enhancement methods. Secondly, coronary arteries are extracted from two enhanced coronary angiograms through using the transition region extraction method based on degree, and then two extracted coronary artery images are acquired. At last, two extracted blood vessel images are fused, and the result of the fusion is the final segmentation image. The experimental results show that the backdrop can be eliminated and the small vessels can be remained effectively.
  • Keywords
    angiocardiography; blood vessels; feature extraction; image enhancement; image segmentation; medical image processing; blood vessel extraction method; blood vessel image extraction; coronary angiograms; coronary artery image; degree based fusion algorithm; image enhancement methods; image segmentation; small blood vessels; transition region extraction method; Image segmentation; Gaussian filter; coronary artery; degree; image enhancement; morphological operator; vessel segmentation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Measurement, Information and Control (ICMIC), 2013 International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4799-1390-9
  • Type

    conf

  • DOI
    10.1109/MIC.2013.6758057
  • Filename
    6758057