DocumentCode
1033060
Title
Piecewise Linear Digital Curve Representation and Compression Using Graph Theory and a Line Segment Alphabet
Author
Hajdu, András ; Pitas, Ioannis
Author_Institution
Dept. of Inf., Aristotle Univ. of Thessaloniki, Thessaloniki, Greece
Volume
17
Issue
2
fYear
2008
Firstpage
126
Lastpage
133
Abstract
The use of an alphabet of line segments to compose a curve is a possible approach for curve data compression. Many approaches are developed with the drawback that they can process simple curves only. Curves having more sophisticated topology with self-intersections can be handled by methods considering recursive decomposition of the canvas containing the curve. In this paper, we propose a graph theory-based algorithm for tracing the curve directly to eliminate the decomposition needs. This approach obviously improves the compression performance, as longer line segments can be used. We tune our method further by selecting optimal turns at junctions during tracing the curve. We assign a polygon approximation to the curve which consists of letters coming from an alphabet of line segments. We also discuss how other application fields can take advantage of the provided curve description scheme.
Keywords
curve fitting; data compression; graph theory; curve data compression; graph theory; line segment alphabet; piecewise linear digital curve representation; polygon approximation; Data compression; Digital images; Geometry; Graph theory; Graphics; Image coding; Image segmentation; Piecewise linear approximation; Piecewise linear techniques; Topology; Chinese postman problem; Euler graph; curve compression; curve partitioning; optimal curve tracing; Algorithms; Computer Graphics; Computer Simulation; Data Compression; Image Enhancement; Image Interpretation, Computer-Assisted; Imaging, Three-Dimensional; Linear Models; Reproducibility of Results; Sensitivity and Specificity; Signal Processing, Computer-Assisted;
fLanguage
English
Journal_Title
Image Processing, IEEE Transactions on
Publisher
ieee
ISSN
1057-7149
Type
jour
DOI
10.1109/TIP.2007.914202
Filename
4429310
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