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

Computing global shape measures

Rosin, Paul L. ORCID: 2005. Computing global shape measures. Chen, C. H., ed. Handbook of Pattern Recognition and Computer Vision, World Scientific Publishing, pp. 177-196. (10.1142/9789812775320_0010)

[thumbnail of shapeGlobal.pdf]
PDF - Accepted Post-Print Version
Download (1MB) | Preview


Global shape measures are a convenient way to describe regions. They are generally simple and efficient to extract, and provide an easy means for high level tasks such as classification as well as helping direct low-level computer vision processes such as segmentation. In this chapter a large selection of global shape measures (some from the standard literature as well as other newer methods) are described and demonstrated.

Item Type: Book Section
Date Type: Publication
Status: Published
Schools: Computer Science & Informatics
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Publisher: World Scientific Publishing
ISBN: 9789814481311
Date of First Compliant Deposit: 23 December 2016
Date of Acceptance: 1 January 2005
Last Modified: 02 Nov 2022 10:00

Citation Data

Cited 31 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item


Downloads per month over past year

View more statistics