Authors: Stojmenović, Miloš
Žunić, Joviša 
Title: New measure for shape elongation
Journal: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume: 4478 LNCS
Issue: PART 2
First page: 572
Last page: 579
Conference: 3rd Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2007; Girona; Spain; 6 June 2007 through 8 June 2007
Issue Date: 1-Dec-2007
Rank: M23
ISBN: 978-3-540-72848-1
ISSN: 0302-9743
DOI: 10.1007/978-3-540-72849-8_72
Abstract: 
Shape elongation is one of the basic shape descriptors that has a very clear intuitive meaning. That is reason for its applicability in many shape classification tasks. In this paper we define a new method for computing shape elongation for shapes with polygonal boundaries. The measure is the ratio of the maximal and minimal of the sums of squared lengths of the projections of all of the edges of the polygonal boundary onto a line which has a particular slope. We express the measure with a closed formula. This measure finds the elongation for shapes whose boundary is not extracted completely, which is impossible to achieve with existing area based measures.
Keywords: Computer vision | Elongation | Image processing | Orientation | Shape
Publisher: Springer Link

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