2019
DOI: 10.1016/j.cagd.2019.04.016
|View full text |Cite
|
Sign up to set email alerts
|

A new area-based convexity measure with distance weighted area integration for planar shapes

Abstract: A new area-based convexity measure with distance weighted area integration for planar shapes http://researchonline.ljmu.ac.uk/id/eprint/10645/ Article LJMU has developed LJMU Research Online for users to access the research output of the University more effectively. AbstractIn this paper we propose a new area-based convexity measure. We assume that convexity evaluation of an arbitrary planar shape is related to the total influence of dents of the shape, and discover that those attributes of the dents, such as … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
1
1
1

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(1 citation statement)
references
References 31 publications
0
1
0
Order By: Relevance
“…Some of them have a clear geometric or topological interpretation, which allows them to be relatively easily contextually and numerically described as such. To mention only some of them: convexity [18,19], elongation [20,21], hexagonality [21], Euler number [22,23], circularity [24,25] , disconnectedness [26], etc. In addition, there are shape measures that are not initially designed to assess the degree to which a considered shape exhibits certain properties, but are able to provide a feature vector of sufficient dimensionality to describe the observed shape.…”
Section: Introductionmentioning
confidence: 99%
“…Some of them have a clear geometric or topological interpretation, which allows them to be relatively easily contextually and numerically described as such. To mention only some of them: convexity [18,19], elongation [20,21], hexagonality [21], Euler number [22,23], circularity [24,25] , disconnectedness [26], etc. In addition, there are shape measures that are not initially designed to assess the degree to which a considered shape exhibits certain properties, but are able to provide a feature vector of sufficient dimensionality to describe the observed shape.…”
Section: Introductionmentioning
confidence: 99%