|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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