Skip to main content
Conference ProceedingsOPEN ACCESS

Measuring shape circularity

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2008) 5197 LNCS 94-101
DOI: 10.1007/978-3-540-85920-8_12
19Citations
Citations of this article
18Readers
Mendeley users who have this article in their library.

This article is free to access.

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. © 2008 Springer-Verlag Berlin Heidelberg.

Author supplied keywords

Cite

CITATION STYLE

APA

Žunić, J., & Hirota, K. (2008). Measuring shape circularity. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5197 LNCS, pp. 94–101). https://doi.org/10.1007/978-3-540-85920-8_12

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free