• DocumentCode
    3564341
  • Title

    Lifting biorthogonal wavelet design for edge detection

  • Author

    Devendra, S. ; Prasad, P.M.K.

  • Author_Institution
    Dept. of E.C.E, GMR Inst. of Technol., Rajam, India
  • fYear
    2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Edge detection is a common approach for detection of meaningful discontinuities in gray levels. The edge detection can be done by using lifting Wavelets. Wavelets improve the quality of edge detection due to its multi-resolution technique and it is faster for real time applications.The current widely used edge detection algorithms are Sobel, Roberts, Laplacian etc. The core idea of these algorithms is that the edge points correspond to the local maximal points of original image´s gray-level gradient. However, there are failed in some cases for detecting edge detection of an image.
  • Keywords
    edge detection; image resolution; wavelet transforms; edge detection algorithms; edge detection quality; edge points; lifting biorthogonal wavelet design; local maximal points; multiresolution technique; original image gray-level gradient; Biomedical imaging; Discrete wavelet transforms; Image edge detection; MATLAB; Edge detection; Multi resolution analysis; lifting biorthogonal wavelet;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    High Performance Computing and Applications (ICHPCA), 2014 International Conference on
  • Print_ISBN
    978-1-4799-5957-0
  • Type

    conf

  • DOI
    10.1109/ICHPCA.2014.7045368
  • Filename
    7045368