Authors: Rosin, Paul
Žunić, Joviša 
Affiliations: Mathematical Institute of the Serbian Academy of Sciences and Arts 
Title: Measuring convexity via convex polygons
Journal: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume: 9555
First page: 38
Last page: 47
Issue Date: 1-Jan-2016
Rank: M33
ISBN: 978-3-319-30284-3
ISSN: 0302-9743
DOI: 10.1007/978-3-319-30285-0_4
Abstract: 
This paper describes a general approach to compute a family of convexity measures. Inspired by the use of geometric primitives (such as circles) which are often fitted to shapes to approximate them, we use convex polygons for this task. Convex polygons can be generated in many ways, and several are demonstrated here. These polygons are scaled and translated to ensure that they fit the input shape and produce a meaningful convexity measure. Subsequently, a convexity measure can be computed based on the degree of overlap between the two shapes.
Keywords: Classification | Convexity | Shape measure
Publisher: Springer Link
Project: Advanced Techniques of Cryptology, Image Processing and Computational Topology for Information Security 
Development of new information and communication technologies, based on advanced mathematical methods, with applications in medicine, telecommunications, power systems, protection of national heritage and education 

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