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Measuring shape: ellipticity, rectangularity, and triangularity

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Machine Vision and Applications Aims and scope Submit manuscript

Abstract.

Object classification often operates by making decisions based on the values of several shape properties measured from an image of the object. This paper describes several algorithms (both old and new) for calculating ellipticity, rectangularity, and triangularity shape descriptors. The methods are evaluated by testing on both synthetic and real data.

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Authors and Affiliations

  1. Department of Computer Science, Cardiff University, Queen's Buildings, Newport Road, PO Box 916, Cardiff CF24 3XF, UK; e-mail: paul.rosin@cs.cf.ac.uk , , , , , , UK

    Paul L. Rosin

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  1. Paul L. Rosin
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Received: 9 July 2001 / Accepted: 31 July 2002 Published online: 3 June 2003

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Rosin, P. Measuring shape: ellipticity, rectangularity, and triangularity. Machine Vision and Applications 14, 172–184 (2003). https://doi.org/10.1007/s00138-002-0118-6

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  • DOI: https://doi.org/10.1007/s00138-002-0118-6

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