Skeleton extraction in cluttered image based on delaunay triangulation

Vicky Sintunata, Terumasa Aoki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

Conventional skeleton extraction method usually limits its applicability due to the close curve or complete boundary constraint. Unfortunately in cluttered image or natural image, the close curve or complete boundary constraint happens all the time. Therefore a skeleton extraction algorithm with an incomplete boundary condition is proposed. The proposed method is based on the Delaunay triangulation of some sampled points from the input image. By using the proposed method, the incomplete boundary condition can be relaxed to some extends.

Original languageEnglish
Title of host publicationProceedings - 2016 IEEE International Symposium on Multimedia, ISM 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages365-366
Number of pages2
ISBN (Electronic)9781509045709
DOIs
Publication statusPublished - 2017 Jan 18
Event18th IEEE International Symposium on Multimedia, ISM 2016 - San Jose, United States
Duration: 2016 Dec 112016 Dec 13

Other

Other18th IEEE International Symposium on Multimedia, ISM 2016
CountryUnited States
CitySan Jose
Period16/12/1116/12/13

Keywords

  • Delaunay triangle
  • Gray image skeletonization
  • Skeleton
  • Skeleton extraction

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Media Technology
  • Computer Science Applications

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  • Cite this

    Sintunata, V., & Aoki, T. (2017). Skeleton extraction in cluttered image based on delaunay triangulation. In Proceedings - 2016 IEEE International Symposium on Multimedia, ISM 2016 (pp. 365-366). [7823647] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISM.2016.127