Title :
Compression Optimized Tracing of Digital Curves using Graph Theory
Author :
Hajdu, András ; Pitas, Ioannis
Author_Institution :
Thessaloniki Univ., Thessaloniki
fDate :
Sept. 16 2007-Oct. 19 2007
Abstract :
The use of an alphabet of line segments to compose a curve is a possible approach for curve data compression. An existing state-of-the-art method considers a quadtree decomposition of the curve to perform the substitution of the curve parts from the alphabet of line segments. In this paper, we propose a graph theory based algorithm for tracing the curve directly to eliminate the quadtree decomposition needs. This approach obviously improves the compression efficiency, as longer line segments can be used. We tune our method further by selecting optimal turns at junctions during tracing the curve. We also discuss briefly how other application fields can take advantage of the presented approach.
Keywords :
curve fitting; data compression; graph theory; image coding; quadtrees; curve data compression; graph theory; optimized tracing method; quadtree decomposition; state-of-the-art method; Application software; Computational geometry; Computer graphics; Data compression; Graph theory; Image coding; Image segmentation; Informatics; Interpolation; Piecewise linear approximation; Graph theory; image coding; interpolation; piecewise linear approximation;
Conference_Titel :
Image Processing, 2007. ICIP 2007. IEEE International Conference on
Conference_Location :
San Antonio, TX
Print_ISBN :
978-1-4244-1437-6
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2007.4379619