Rosin, Paul L. ORCID: https://orcid.org/0000-0002-4965-3884 2004. Measuring sigmoidality. Pattern Recognition 37 (8) , pp. 1735-1744. 10.1016/j.patcog.2004.02.011 |
Official URL: http://dx.doi.org/10.1016/j.patcog.2004.02.011
Abstract
Several new shape measures are proposed for measuring the sigmoidality (i.e. S-shapedness) of a curve or a region's axis. The correctness of the measures are verified on synthetic data, and then tested quantitatively on several classification tasks.
Item Type: | Article |
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Date Type: | Publication |
Status: | Published |
Schools: | Computer Science & Informatics |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Uncontrolled Keywords: | Sigmoidal; Shape measure; Diatom classification; Handwritten digits |
Publisher: | Elsevier |
ISSN: | 0031-3203 |
Last Modified: | 24 Oct 2022 10:06 |
URI: | https://orca.cardiff.ac.uk/id/eprint/43172 |
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