@Article{JosepLlados1997,
author="Josep Llados
and Horst Bunke
and Enric Marti",
title="Finding rotational symmetries by cyclic string matching",
journal="Pattern recognition letters",
year="1997",
publisher="Elsevier",
volume="18",
number="14",
pages="1435--1442",
optkeywords="Rotational symmetry",
optkeywords="Reflectional symmetry",
optkeywords="String matching",
abstract="Symmetry is an important shape feature. In this paper, a simple and fast method to detect perfect and distorted rotational symmetries of 2D objects is described. The boundary of a shape is polygonally approximated and represented as a string. Rotational symmetries are found by cyclic string matching between two identical copies of the shape string. The set of minimum cost edit sequences that transform the shape string to a cyclically shifted version of itself define the rotational symmetry and its order. Finally, a modification of the algorithm is proposed to detect reflectional symmetries. Some experimental results are presented to show the reliability of the proposed algorithm",
optnote="DAG;IAM;",
optnote="exported from refbase (http://refbase.cvc.uab.es/show.php?record=1562), last updated on Tue, 17 May 2016 11:29:05 +0200",
doi="10.1016/S0167-8655(97)00144-X",
opturl="http://dx.doi.org/10.1016/S0167-8655(97)00144-X",
file=":http://refbase.cvc.uab.es/files/LBM1997a.pdf:PDF"
}