• DocumentCode
    484955
  • Title

    A Gradient-based Edge Detector For Pervasive Computing

  • Author

    Diao, Luhong ; Zhang, Ting ; Zhang, Sen ; Li, Hua ; Lin, Zongkai

  • Author_Institution
    Coll. of Appl. Sci., Beijing Univ. of Technol., Beijing
  • Volume
    1
  • fYear
    2008
  • fDate
    6-8 Oct. 2008
  • Firstpage
    394
  • Lastpage
    398
  • Abstract
    A gradient-based edge detection scheme for pervasive computing is proposed, which is deduced from Fresnel diffraction. It is a pair of 3 times 3 convolution kernels for measuring horizontal and vertical gradients. While the new method can gives quantitative results equal to the Canny detector while it is simple. So it is more suitable for different kinds of computing platforms.
  • Keywords
    Fresnel diffraction; edge detection; gradient methods; ubiquitous computing; Canny detector; Fresnel diffraction; gradient-based edge detection scheme; pervasive computing; Computer vision; Detectors; Diffraction; Filters; Humans; Image edge detection; Image segmentation; Information processing; Kernel; Pervasive computing; Fresnel diffraction; gradient-based edge detector; pervasive computing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pervasive Computing and Applications, 2008. ICPCA 2008. Third International Conference on
  • Conference_Location
    Alexandria
  • Print_ISBN
    978-1-4244-2020-9
  • Electronic_ISBN
    978-1-4244-2021-6
  • Type

    conf

  • DOI
    10.1109/ICPCA.2008.4783618
  • Filename
    4783618
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=484955