Result: Analyzing nonconvex 2D and 3D patterns

Title:
Analyzing nonconvex 2D and 3D patterns
Source:
Computer vision and image understanding (Print). 63(1):145-157
Publisher Information:
San Diego, CA: Elsevier, 1996.
Publication Year:
1996
Physical Description:
print, 23 ref
Original Material:
INIST-CNRS
Document Type:
Academic journal Article
File Description:
text
Language:
English
Author Affiliations:
Swedish univ. agricultural sci., cent. image analysis, 752 37 Uppsala, Sweden
ISSN:
1077-3142
Rights:
Copyright 1996 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems
Accession Number:
edscal.3005779
Database:
PASCAL Archive

Further Information

A nonconvex pattern can be analyzed by describing its concavity regions. These can be identified by computing the difference between the convex hull of the pattern and the pattern itself. A suitable approximation of the convex hull can be obtained by repeatedly filling local concavities of the pattern. Parallel and sequential algorithms are proposed, to fill concavities of 2D and 3D patterns. The resulting approximation of the convex hull is a covering polygon or polyhedron, which is either convex or nearly convex. Exact measures of worst remaining concavities and created protrusions are given. The concavity regions are extracted and different features are presented and computed. Hierarchical pattern descriptions are also suggested, based on the use of concavity trees.