• DocumentCode
    2039531
  • Title

    Fast vectorization and upscaling images with natural objects using canny edge detection

  • Author

    Bera, Aniket

  • Author_Institution
    Jaypee Inst. of Inf. Technol., Noida, India
  • Volume
    3
  • fYear
    2011
  • fDate
    8-10 April 2011
  • Firstpage
    164
  • Lastpage
    167
  • Abstract
    In this paper a new, faster approach which is different from all the other conventional image vectorization techniques. Using canny edge detection we are able to find the sharp edges in the image and the assigning shades to each identifiable segment using random colour extraction from the original image. Finally mapping the colour blobs with the SVG Schema and generating a scalable vector image. This technique is efficient for natural and well as non-It can be directly used in security cameras for live image enhancement.
  • Keywords
    edge detection; feature extraction; image colour analysis; image enhancement; SVG schema; canny edge detection; colour blob mapping; image upscaling; image vectorization technique; live image enhancement; random colour extraction; scalable vector graphics; Gray-scale; Image color analysis; Image edge detection; Image resolution; Kernel; Noise; Pixel; Canny Edge Detection; Enhancement; Image Upscaling; Vectorization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics Computer Technology (ICECT), 2011 3rd International Conference on
  • Conference_Location
    Kanyakumari
  • Print_ISBN
    978-1-4244-8678-6
  • Electronic_ISBN
    978-1-4244-8679-3
  • Type

    conf

  • DOI
    10.1109/ICECTECH.2011.5941823
  • Filename
    5941823