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
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;
Journal_Title :
Image Processing, IEEE Transactions on
DOI :
10.1109/TIP.2007.914202