Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Measuring sigmoidality

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

Full text not available from this repository.

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
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

Citation Data

Cited 19 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item