• DocumentCode
    2053435
  • Title

    Monotonic Vector Forces and Green´s Theorem for Automatic Area Calculation

  • Author

    Sirakov, Nikolay Metodiev

  • Author_Institution
    Texas A & M Univ. Commerce, Commerce
  • Volume
    4
  • fYear
    2007
  • fDate
    Sept. 16 2007-Oct. 19 2007
  • Abstract
    The disorders caused by a cerebral hemorrhage depend on its location, shape and area. The purpose of this paper is to develop a framework to automatically extract the above features for the goal of indexing and fast image retrieval. The method uses monotonic normal and tangent forces, defined on an active contour, guided by two forms of the geometric heat equation toward objects´ and voids´ boundaries, which are used by the Green´s theorem to automatically calculate their areas. To validate the theory experiments are performed with medical images. A discussion on the advantages/limitations and a comparison with existing methods is given at the end of the paper.
  • Keywords
    brain; feature extraction; image retrieval; indexing; medical image processing; neurophysiology; visual databases; Green theorem; active contour; automatic area calculation; cerebral hemorrhage; feature extraction; geometric heat equation; image database; image indexing; image retrieval; medical image processing; monotonic vector force; Active contours; Biomedical imaging; Equations; Feature extraction; Hemorrhaging; Image retrieval; Image segmentation; Indexing; Mathematics; Shape; Active Contour; Extraction; Geometric Features;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2007. ICIP 2007. IEEE International Conference on
  • Conference_Location
    San Antonio, TX
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4244-1437-6
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2007.4380013
  • Filename
    4380013