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Summary: DETECTION OF COMPOUND STRUCTURES USING HIERARCHICAL CLUSTERING OF
STATISTICAL AND STRUCTURAL FEATURES
H. G¨okhan Akc¸ay, Selim Aksoy
Department of Computer Engineering
Bilkent University
Bilkent, 06800, Ankara, Turkey
{akcay,saksoy}@cs.bilkent.edu.tr
ABSTRACT
We describe a new procedure that combines statistical and
structural characteristics of simple primitive objects to dis-
cover compound structures in images. The statistical informa-
tion that is modeled using spectral, shape, and position data of
individual objects, and structural information that is modeled
in terms of spatial alignments of neighboring object groups
are encoded in a graph structure that contains the primitive
objects at its vertices, and the edges connect the potentially
related objects. Experiments using WorldView-2 data show
that hierarchical clustering of these vertices can find high-
level compound structures that cannot be obtained using tra-
ditional techniques.
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