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
Link To Document