Achieving a more accurate skeleton through the refinement of skeletonization triangles

Paul Morrison, Ju Jia Zou

    Research output: Chapter in Book / Conference PaperConference Paper

    Abstract

    ![CDATA[Skeletonization using the Constrained Delaunay Triangulation technique has proven very effective, with respect to efficiency, accuracy and robustness against noise. This paper presents three algorithms that further improve this successful skeletonization method. Each of the three algorithms presented here deals with the refinement of the three types of triangles produced by triangulation, namely end triangles, normal triangles and junction triangles. Results show that these algorithms produce a skeleton that complies much better to a human’s perception of the underlying image, without detracting from the superior efficiency inherent in the original triangulation method.]]
    Original languageEnglish
    Title of host publicationProceedings of Digital Image Computing: Techniques and Applications: DICTA 2005
    PublisherIEEE Computer Society
    Number of pages6
    ISBN (Print)0769524672
    Publication statusPublished - 2005
    EventDigital Image Computing Techniques and Applications -
    Duration: 1 Jan 2007 → …

    Conference

    ConferenceDigital Image Computing Techniques and Applications
    Period1/01/07 → …

    Keywords

    • Delaunay triangulation
    • algorithms
    • noise
    • skeletonization
    • skeletons
    • triangulation

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