This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
Hierarchical image segmentation by polygon grouping
Anchorage, AK, USA
June 23-June 28
ISBN: 978-1-4244-2339-2
Lakshman Prasad, Los Alamos National Laboratory PO Box 1663, NM 87545, USA
We present a simple cascading algorithm for rapid hierarchical image segmentation based on perceptually driven contour completion and scene statistics. We start with an initial fine-scale segmentation of an image obtained by perceptual completion of partial contours into polygonal regions using region-contour correspondences established by Delaunay triangulation of edge pixels. The resulting polygon size distribution is analyzed for a dominant mode of granularity of the image. Polygons whose sizes are less than or equal to this granularity are merged with their spectrally closest neighbors to obtain the next level of polygonal segments in the hierarchy. The iterative application of this process precipitates textured regions as polygons with highly convolved boundaries and helps distinguish them from objects which typically have more regular boundaries.
Citation:
Lakshman Prasad, Sriram Swaminarayan, "Hierarchical image segmentation by polygon grouping," cvprw, pp.1-8, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2008
Usage of this product signifies your acceptance of the Terms of Use.