• DocumentCode
    532162
  • Title

    The application of structure tensor in ddge detection

  • Author

    Keli, Wen ; Zhaoyu, Pian

  • Author_Institution
    Changchun Inst. of Technol., Changchun, China
  • Volume
    4
  • fYear
    2010
  • fDate
    22-24 Oct. 2010
  • Abstract
    This paper proposes a novel approach for edge detection by first applying the structure tensor. The method firstly presents the definition of scale vector by analyzing the structure tensor, to calculate the weight between two graph-nodes. The nature of structure tensor helps the new features retain more structure information of image, and that makes the detection more accurately. In addition, the paper also presents an anisotropy filter, replacing the Gaussian function, to average the structure tensor. The new filtering function makes structure tensor retain more information of complicated structure. In experiments conducted on various images, the algorithm shows a notable visual improvement.
  • Keywords
    Gaussian processes; computer vision; edge detection; tensors; Gaussian function; anisotropy filter; complicated structure; edge detection; filtering function; graph node; image information; notable visual improvement; scale vector; structure tensor; Educational institutions; Feature extraction; Lead; Tensile stress; anisotropy filter; anisotropy structure tensor; edge detection; structure tensor;
  • 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.2010.5620068
  • Filename
    5620068