DocumentCode :
3061290
Title :
Methods for hierarchical analysis of concavities
Author :
Borgefors, Gunilla ; Di Baja, Gabriella Sanniti
Author_Institution :
Swedish Defence Res. Establ., Linkoping, Sweden
fYear :
1992
fDate :
30 Aug-3 Sep 1992
Firstpage :
171
Lastpage :
175
Abstract :
Presents an iterative parallel procedure for computing concavity trees of a digital shape in a multi-resolution structure. The pattern is, at all resolution levels, covered by an almost convex polygon, closely fitting the pattern itself. When the polygons have been created, a hierarchical structure is built, which points out the relations among the concavities at different resolution levels. Also some properties characterizing the added regions are computed. On the highest resolution level, a meta-concavity tree is built up. This tree can be used to analyse and hierarchically rank the shape concavities
Keywords :
image processing; iterative methods; parallel algorithms; almost convex polygon; concavities; digital shape; hierarchical analysis; image processing; iterative parallel procedure; meta-concavity tree; multi-resolution structure; Area measurement; Color; Concurrent computing; Filling; Information analysis; Parallel architectures; Parallel machines; Pattern analysis; Performance analysis; Shape measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 1992. Vol.III. Conference C: Image, Speech and Signal Analysis, Proceedings., 11th IAPR International Conference on
Conference_Location :
The Hague
Print_ISBN :
0-8186-2920-7
Type :
conf
DOI :
10.1109/ICPR.1992.201954
Filename :
201954
Link To Document :
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