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Summary: Hierarchical Segmentation of Complex Structures
H. G¨okhan Akc¸ay, Selim Aksoy
Department of Computer Engineering
Bilkent University
Bilkent, 06800, Ankara, Turkey
{akcay,saksoy}@cs.bilkent.edu.tr
Pierre Soille
Institute for the Protection and Security of the Citizen
European Commission, Joint Research Centre
21020 Ispra (VA), Italy
Pierre.Soille@jrc.ec.europa.eu
Abstract--We present an unsupervised hierarchical segmen-
tation algorithm for detection of complex heterogeneous image
structures that are comprised of simpler homogeneous primi-
tive objects. An initial segmentation step produces regions cor-
responding to primitive objects with uniform spectral content.
Next, the transitions between neighboring regions are modeled
and clustered. We assume that the clusters that are dense
and large enough in this transition space can be considered
as significant. Then, the neighboring regions belonging to the
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