Please use this identifier to cite or link to this item:
https://open.uns.ac.rs/handle/123456789/1418
Title: | Shape diameter for object analysis | Authors: | Žunić, Antonije | Issue Date: | 1-Aug-2018 | Journal: | Information Processing Letters | Abstract: | © 2018 Elsevier B.V. Shape diameter, defined as the longest distance between two shape points, is a natural and dissent shape characteristics. In this paper we show how the shape diameter can be utilized to define two quantities, herein named the elongation measures. Both measures have a discriminative capacity and, as such, can be used to distinguish among the objects presented on digital images. The first elongation measure is based on comparison of the shape diameter and shape area. The second one is based on the relationship between the shape diameter and shape perimeter. The basic desirable properties of the new measures are given. A number of simple examples are given in order to illustrate the behavior of the new measures. | URI: | https://open.uns.ac.rs/handle/123456789/1418 | ISSN: | 00200190 | DOI: | 10.1016/j.ipl.2018.03.012 |
Appears in Collections: | POLJF Publikacije/Publications |
Show full item record
SCOPUSTM
Citations
3
checked on Nov 20, 2023
Page view(s)
20
Last Week
5
5
Last month
0
0
checked on May 10, 2024
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.