• DocumentCode
    3381631
  • Title

    Segmentation and feature extraction to evaluate the stomach dynamic

  • Author

    Benjelloun, Mohammed

  • Author_Institution
    Faculte Polytechnique de Mons, Service Informatique, Mons, Belgium
  • fYear
    2005
  • fDate
    9-11 May 2005
  • Firstpage
    437
  • Lastpage
    443
  • Abstract
    Our work is motivated by a practical application of motion study induced by breathing in the abdomen under the influence of diaphragm pressure. In this article, we present an image processing method to analyze the motion of the stomach between expiration and inspiration. Our approach is based on a preliminary edge detection. To extract useful information, we propose two techniques lying respectively on filling and active contour algorithms. The results of both methods are analysed and compared to those obtained manually. In order to improve the results and to overcome the limitations of the proposed edge detector, an edge closing method based on a polynomial contour fitting is applied.
  • Keywords
    biology computing; curve fitting; edge detection; feature extraction; image motion analysis; image segmentation; medical image processing; abdomen; active contour algorithm; diaphragm pressure; edge closing; edge detection; feature extraction; filling contour algorithm; image processing; image segmentation; information extraction; polynomial contour fitting; stomach dynamic evaluation; stomach motion analysis; Abdomen; Data mining; Feature extraction; Image analysis; Image edge detection; Image motion analysis; Image processing; Image segmentation; Motion analysis; Stomach;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Robot Vision, 2005. Proceedings. The 2nd Canadian Conference on
  • Print_ISBN
    0-7695-2319-6
  • Type

    conf

  • DOI
    10.1109/CRV.2005.73
  • Filename
    1443163