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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