Sciweavers

Share
MICCAI
2008
Springer

Weights and Topology: A Study of the Effects of Graph Construction on 3D Image Segmentation

9 years 11 months ago
Weights and Topology: A Study of the Effects of Graph Construction on 3D Image Segmentation
Abstract. Graph-based algorithms have become increasingly popular for medical image segmentation. The fundamental process for each of these algorithms is to use the image content to generate a set of weights for the graph and then set conditions for an optimal partition of the graph with respect to these weights. To date, the heuristics used for generating the weighted graphs from image intensities have largely been ignored, while the primary focus of attention has been on the details of providing the partitioning conditions. In this paper we empirically study the effects of graph connectivity and weighting function on the quality of the segmentation results. To control for algorithm-specific effects, we employ both the Graph Cuts and Random Walker algorithms in our experiments.
Leo Grady, Marie-Pierre Jolly
Added 06 Nov 2009
Updated 06 Nov 2009
Type Conference
Year 2008
Where MICCAI
Authors Leo Grady, Marie-Pierre Jolly
Comments (0)
books