loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
35th Applied Imagery and Pattern Recognition Workshop (AIPR'06)
Rapid Automated Polygonal Image Decomposition
Washington, DC, USA
October 11-October 13
ISBN: 0-7695-2739-6
Sriram Swaminarayan, Los Alamos National Laboratory, Los Alamos, NM
Lakshman Prasad, Los Alamos National Laboratory, Los Alamos, NM
We present RaveGrid, a software that efficiently converts a raster image to a scalable vector image comprised of polygons whose boundaries conform to the edges in the image. The resulting vector image has good visual quality and fidelity and can be displayed at various sizes and on various display screen resolutions. The software can render vector images in the SVG (Scalable Vector Graphics) format or in EPS (Encapsulated Postscript). The ubiquity of image data in graphics, on the Web, and in communications, as well as the wide range of devices, from big screen TVs to hand-held cellular phones that support image display, calls for a scalable and more manipulable representation of imagery. Moreover, with the growing need for automating image-based search, object recognition, and image understanding, it is desirable to represent image content at a semantically higher level by means of tokens that support computer vision tasks.
Citation:
Sriram Swaminarayan, Lakshman Prasad, "Rapid Automated Polygonal Image Decomposition," aipr, pp.28, 35th Applied Imagery and Pattern Recognition Workshop (AIPR'06), 2006
Usage of this product signifies your acceptance of the Terms of Use.