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RELATIVE POSITION-BASED SPATIAL RELATIONSHIPS USING MATHEMATICAL MORPHOLOGY
 

Summary: RELATIVE POSITION-BASED SPATIAL RELATIONSHIPS
USING MATHEMATICAL MORPHOLOGY
R. G¨okberk Cinbis¸ and Selim Aksoy
Department of Computer Engineering
Bilkent University
Bilkent, 06800, Ankara, Turkey
ABSTRACT
Spatial information is a crucial aspect of image understanding for
modeling context as well as resolving the uncertainties caused by
the ambiguities in low-level features. We describe intuitive, flexible
and efficient methods for modeling pairwise directional spatial rela-
tionships and the ternary between relation using fuzzy mathemati-
cal morphology. First, a fuzzy landscape is constructed where each
point is assigned a value that quantifies its relative position according
to the reference object(s) and the type of the relationship. Then, the
degree of satisfaction of this relation by a target object is computed
by integrating the corresponding landscape over the support of the
target region. Our models support sensitivity to visibility to handle
areas that are partially enclosed by objects and are not visible from
image points along the direction of interest. They can also cope with

  

Source: Aksoy, Selim - Department of Computer Engineering, Bilkent University

 

Collections: Computer Technologies and Information Sciences