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IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 8, NO. 9, SEPTEMBER 1999 1243 Image Segmentation and Labeling
 

Summary: IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 8, NO. 9, SEPTEMBER 1999 1243
Image Segmentation and Labeling
Using the Polya Urn Model
Amit Banerjee, Student Member, IEEE, Philippe Burlina, Member, IEEE, and Fady Alajaji, Member, IEEE
Abstract--We propose a segmentation method based on Polya's
urn model for contagious phenomena. A preliminary segmen-
tation yields the initial composition of an urn representing the
pixel. The resulting urns are then subjected to a modified urn
sampling scheme mimicking the development of an infection to
yield a segmentation of the image into homogeneous regions.
This process is implemented using contagion urn processes and
generalizes Polya's scheme by allowing spatial interactions. The
composition of the urns is iteratively updated by assuming a spa-
tial Markovian relationship between neighboring pixel labels. The
asymptotic behavior of this process is examined and comparisons
with simulated annealing and relaxation labeling are presented.
Examples of the application of this scheme to the segmentation of
synthetic texture images, ultra-wideband synthetic aperture radar
(UWB SAR) images and magnetic resonance images (MRI) are
provided.

  

Source: Alajaji, Fady - Department of Mathematics and Statistics, Queen's University (Kingston)

 

Collections: Engineering