Title :
Line image vectorization based on shape partitioning and merging
Author :
Zou, Ju Jia ; Yan, Hong
Author_Institution :
Sch. of Electr. & Inf. Eng., Sydney Univ., NSW, Australia
Abstract :
A new method for line image vectorization based on a partition-and-merge technique is presented. A shape is first partitioned into a set of non-overlapping triangles by the constrained Delaunay triangulation. Then the initial partitioning is refined to produce a more accurate result. The vector form of the shape is represented by its skeleton which can be obtained from the skeletons of the parts of the shape. The skeleton thus obtained conforms to human perceptions of the particular shape and can be used to reconstruct the shape
Keywords :
image reconstruction; image representation; image thinning; mesh generation; vectors; Delaunay triangulation; image reconstruction; image representation; line image vectorization; shape merging; shape partitioning; skeletonisation; vector; Australia; Digital images; Humans; Image segmentation; Joining processes; Merging; Pixel; Refining; Shape; Skeleton;
Conference_Titel :
Pattern Recognition, 2000. Proceedings. 15th International Conference on
Conference_Location :
Barcelona
Print_ISBN :
0-7695-0750-6
DOI :
10.1109/ICPR.2000.903712