• DocumentCode
    532199
  • Title

    Image coding using characteristic points based triangulation

  • Author

    Hu Weijun ; Wan Lin ; Fu Min

  • Author_Institution
    Sch. of Comput. Sci. & Technol., Huazhong Univ. of Sci. & Technol., Wuhan, China
  • Volume
    5
  • fYear
    2010
  • fDate
    22-24 Oct. 2010
  • Abstract
    Based on computational geometry of the triangle, triangular mesh representation model of image is efficient to represent images, which has great use video communication, three-dimensional reconstruction and so on. Referring to the idea of contour extraction, characteristic points of image border can be extracted by use of polygon growing algorithm, Delaunay triangular mesh can be initialized with improved Lawson algorithm. A technique on refinement of original triangular mesh is devised. This algorithm considers both small errors and homogenization errors of gray scale on the initial of mesh. The experimental results indicates that compared with traditional characteristic points extracted algorithm, the number of characteristic points extracted by this algorithm is approximately reduced by 10%, and the quality of reconstructed image is obviously improved. So this algorithm can be considered to be an effective triangular method of images.
  • Keywords
    computational geometry; feature extraction; image coding; image representation; mesh generation; Delaunay triangular mesh; Lawson algorithm; characteristic points based triangulation; computational geometry; contour extraction; image coding; polygon growing algorithm; triangular mesh representation model; video communication; Corporate acquisitions; Variable speed drives; Delaunay triangular mesh; characteristic point; polygon growing algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Application and System Modeling (ICCASM), 2010 International Conference on
  • Conference_Location
    Taiyuan
  • Print_ISBN
    978-1-4244-7235-2
  • Electronic_ISBN
    978-1-4244-7237-6
  • Type

    conf

  • DOI
    10.1109/ICCASM.2010.5620128
  • Filename
    5620128