Measuring Shape Circularity

Authors:
Joviša Žunić;Kaoru Hirota
Affiliations:
Computer Science, Exeter University, Exeter, U.K. EX4 4QF;Department of Computational Intelligence and Systems Science, Graduate School of Science and Engineering, Tokyo Institute of Technology, Yokohama, Japan 226-8502
Venue:
CIARP '08 Proceedings of the 13th Iberoamerican congress on Pattern Recognition: Progress in Pattern Recognition, Image Analysis and Applications
Year:
2008

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Abstract

In this paper we define a new circularity measure. The new measure is easy to compute and, being area based, is robust with respect to noise. It ranges over (0,1] and gives the measured circularity equal to 1 if and only if the measured shape is a circle. The new measure is invariant with respect to translations, rotations and scaling.