Department of Electrical and Computer Engineering
Rutgers University, Piscataway, NJ 08855, USA
A new approach toward image segmentation is proposed.
A set of slightly different segmentations are derived from the same
input and the final result is based on the consensus among them.
The perturbations are introduced by exploiting the probabilistic
component of a region adjacency graph (RAG) pyramid based
segmentation.
From the set of initial segmentations the cooccurrence probability
field is obtained in which global
information about the delineated regions becomes locally available.
The final segmentation is
based on this field and is obtained with the same hierarchical,
RAG pyramid technique. No user set parameters or context
dependent thresholds are required.
Appeared in
Computer Vision and Image Understanding,
vol. 68, 72-89, October 1997.
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