Measuring shape circularity

Joviša Žunić; Kaoru Hirota

doi:10.1007/978-3-540-85920-8_12

Measuring shape circularity

Joviša Žunić^*, Kaoru Hirota

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

19 Citations (Scopus)

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.

Original language	English
Title of host publication	Progress in Pattern Recognition, Image Analysis and Applications - 13th Iberoamerican Congress on Pattern Recognition, CIARP 2008, Proceedings
Pages	94-101
Number of pages	8
DOIs	https://doi.org/10.1007/978-3-540-85920-8_12
Publication status	Published - 2008
Externally published	Yes
Event	13th Iberoamerican Congress on Pattern Recognition, CIARP 2008 - Havana, Cuba Duration: 9 Sept 2008 → 12 Sept 2008

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	5197 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	13th Iberoamerican Congress on Pattern Recognition, CIARP 2008
Country/Territory	Cuba
City	Havana
Period	9/09/08 → 12/09/08

Keywords

Circularity measure
Moments
Shape

Access to Document

10.1007/978-3-540-85920-8_12

Cite this

Žunić, J., & Hirota, K. (2008). Measuring shape circularity. In Progress in Pattern Recognition, Image Analysis and Applications - 13th Iberoamerican Congress on Pattern Recognition, CIARP 2008, Proceedings (pp. 94-101). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5197 LNCS). https://doi.org/10.1007/978-3-540-85920-8_12

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title = "Measuring shape circularity",

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.",

keywords = "Circularity measure, Moments, Shape",

author = "Jovi{\v s}a {\v Z}uni{\'c} and Kaoru Hirota",

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language = "English",

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series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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note = "13th Iberoamerican Congress on Pattern Recognition, CIARP 2008 ; Conference date: 09-09-2008 Through 12-09-2008",

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Žunić, J & Hirota, K 2008, Measuring shape circularity. in Progress in Pattern Recognition, Image Analysis and Applications - 13th Iberoamerican Congress on Pattern Recognition, CIARP 2008, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5197 LNCS, pp. 94-101, 13th Iberoamerican Congress on Pattern Recognition, CIARP 2008, Havana, Cuba, 9/09/08. https://doi.org/10.1007/978-3-540-85920-8_12

Measuring shape circularity. / Žunić, Joviša; Hirota, Kaoru.
Progress in Pattern Recognition, Image Analysis and Applications - 13th Iberoamerican Congress on Pattern Recognition, CIARP 2008, Proceedings. 2008. p. 94-101 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5197 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Hirota, Kaoru

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AB - 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.

KW - Circularity measure

KW - Moments

KW - Shape

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T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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BT - Progress in Pattern Recognition, Image Analysis and Applications - 13th Iberoamerican Congress on Pattern Recognition, CIARP 2008, Proceedings

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Žunić J, Hirota K. Measuring shape circularity. In Progress in Pattern Recognition, Image Analysis and Applications - 13th Iberoamerican Congress on Pattern Recognition, CIARP 2008, Proceedings. 2008. p. 94-101. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-540-85920-8_12

Measuring shape circularity

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Keywords

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