DocumentCode :
936228
Title :
Some NP-hard polygon decomposition problems
Author :
Rourke, Joseph O. ; Supowit, Kenneth I.
Volume :
29
Issue :
2
fYear :
1983
fDate :
3/1/1983 12:00:00 AM
Firstpage :
181
Lastpage :
190
Abstract :
The inherent computational complexity of polygon decomposition problems is of theoretical interest to researchers in the field of computational geometry and of practical interest to those working in syntactic pattern recognition. Three polygon decomposition problems are shown to be NP-hard and thus unlikely to admit efficient algorithms. The problems are to find minimum decompositions of a polygonal region into (perhaps overlapping) convex, star-shaped, or spiral subsets. We permit the polygonal region to contain holes. The proofs are by transformation from Boolean three-satisfiability, a known NP-complete problem. Several open problems are discussed.
Keywords :
Image analysis, shape; Image shape analysis; Computational complexity; Computational geometry; Current measurement; Helium; Libraries; NP-complete problem; Pattern recognition; Qualifications; Shape; Spirals;
fLanguage :
English
Journal_Title :
Information Theory, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9448
Type :
jour
DOI :
10.1109/TIT.1983.1056648
Filename :
1056648
Link To Document :
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