A two-component rectilinearity measure

Rosin, Paul ORCID: https://orcid.org/0000-0002-4965-3884 2008. A two-component rectilinearity measure. Computer Vision and Image Understanding 109 (2) , pp. 176-185. 10.1016/j.cviu.2007.09.010

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Abstract

Recently several approaches for measuring the rectilinearity of shapes have been published [P.L. Rosin, J. Žunić, Measuring rectilinearity, Computer Vision and Image Understanding, 99(2) (2005) 175–188; J. Žunić, P.L. Rosin, Rectilinearity measurements for polygons, IEEE Transactions on Pattern Analysis and Machine Intelligence, 25(9) (2003) 1193–1200]. This paper generalises the and measures defined by Žunić and Rosin [J. Žunić, P.L. Rosin, Rectilinearity measurements for polygons, IEEE Transactions on Pattern Analysis and Machine Intelligence, 25(9) (2003) 1193–1200] to detect rectilinearity in two new situations: (1) the polygon has been skewed and (2) the shape contains two rectilinear components oriented differently to each other.

Item Type:	Article
Status:	Published
Schools:	Computer Science & Informatics
Subjects:	Q Science > QA Mathematics > QA76 Computer software
Uncontrolled Keywords:	Shape measure; Polygon; Rectilinearity; Skew; Parts.
Publisher:	Elsevier
Last Modified:	17 Oct 2022 09:42
URI:	https://orca.cardiff.ac.uk/id/eprint/5259

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