Measuring rectilinearity

Rosin, Paul L. ORCID: https://orcid.org/0000-0002-4965-3884 and Zunic, Jovisa 2005. Measuring rectilinearity. Computer Vision and Image Understanding 99 (2) , pp. 175-188. 10.1016/j.cviu.2005.01.003

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Abstract

Two new methods for computing the rectilinearity of polygons are presented. They provide shape measures and estimates of canonical orientations which can be used in applications such as shape retrieval, object classification, image segmentation, etc. Examples are presented demonstrating their use in skew correction of scanned documents, deprojection of aerial photographs of buildings, and scale selection for curve simplification. Furthermore, testing has been carried out on synthetic data and with human subjects to verify that the measures do indeed produce perceptually meaningful results

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Computer Science & Informatics
Subjects:	Q Science > QA Mathematics > QA76 Computer software
Uncontrolled Keywords:	Shape descriptor; Polygon; Rectilinear
Publisher:	Elsevier
ISSN:	1077-3142
Last Modified:	24 Oct 2022 10:05
URI:	https://orca.cardiff.ac.uk/id/eprint/43123

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