2005 | OriginalPaper | Chapter
Kernel Based Symmetry Measure
Authors : Bertrand Zavidovique, Vito Di Gesù
Published in: Image Analysis and Processing – ICIAP 2005
Publisher: Springer Berlin Heidelberg
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In this paper we concentrate on a measure of symmetry. Given a transform
S
, the kernel
SK
of a pattern is defined as the maximal included symmetric sub-set of this pattern. A first algorithm is outlined to exhibit this kernel. The maximum being taken over all directions, the problem arises to know which center to use. Then the optimal direction triggers the shift problem too. As for the measure we propose to compute a modified difference between respective surfaces of a pattern and its kernel. A series of experiments supports actual algorithm validation.