• DocumentCode
    3387336
  • Title

    Application and evaluation of edge detection system employing the ADD

  • Author

    Jong-Gu Lee ; Kim, Eun-mi ; Yoo, Cheol-jung ; Chang, Ok-bae

  • Author_Institution
    Chonbuk Univ., Chonbuk
  • fYear
    2007
  • fDate
    26-29 Aug. 2007
  • Firstpage
    342
  • Lastpage
    345
  • Abstract
    In order to detect and locate edge features precisely in real images we have developed an algorithm by introducing a nonlocal differentiation of intensity profiles called adaptive directional derivative (ADD), which is evaluated independently of varying ramp widths. In this paper, we first develop the edge detector system employing the ADD and then, the performance of the algorithm is illustrated by comparing the results to those from the Canny´s edge detector.
  • Keywords
    edge detection; adaptive directional derivative; edge detection system; image edge feature; Adaptive optics; Application software; Computer applications; Computer science; Detectors; Image edge detection; Image sampling; Optical filters; Pixel; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Science and its Applications, 2007. ICCSA 2007. International Conference on
  • Conference_Location
    Kuala Lampur
  • Print_ISBN
    978-0-7695-2945-5
  • Type

    conf

  • DOI
    10.1109/ICCSA.2007.64
  • Filename
    4301165