Line image vectorization based on shape partitioning and merging

Ju Jia Zou, Hong Yan

Research output: Chapter in Book / Conference PaperConference Paperpeer-review

5 Citations (Scopus)

Abstract

A new method for line image vectorization based on a partition-and-merge technique is presented in this paper. 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.
Original languageEnglish
Title of host publicationImage, Speech, and Signal Processing: Proceedings of the 15th International Conference on Pattern Recognition, ICPR-2000, Barcelona, Spain, 3-7 September 2000
PublisherIEEE
Pages994-997
Number of pages4
ISBN (Print)769507506
Publication statusPublished - 2000
EventInternational Conference on Pattern Recognition -
Duration: 23 Aug 2010 → …

Publication series

Name
ISSN (Print)1051-4651

Conference

ConferenceInternational Conference on Pattern Recognition
Period23/08/10 → …

Keywords

  • constrained Delaunay triangulation
  • image processing
  • skeletonization

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