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[ZY+01b]  Cartoon Image Vectorization based on Shape Subdivision

Zou:2001:CIV (In proceedings)
Author(s)Zou J.J. and Yan H.
Title« Cartoon Image Vectorization based on Shape Subdivision »
InProceedings of Computer Graphics International 2001 (Hong Kong, jun 2001)
Page(s)225--231
Year2001
PublisherIEEE Computer Society
AddressLos Alamitos, CA

Abstract
This paper presents a non-pixel-based skeletonization method for vectorizing cartoon images. The constrained Delaunay triangulation technique is applied to subdivide a shape into a set of non-overlapping triangles. Then, certain triangles in the triangulation are merged to remove artifacts. The skeleton of a shape is obtained from the skeletons of its constituent parts. Experimental results show that the proposed method is more accurate and efficient than a typical thinning method.

BibTeX code
@inproceedings{Zou:2001:CIV,
  opteditor = {},
  optpostscript = {},
  optnote = {},
  optorganization = {},
  author = {Zou, Ju Jia and Hong Yan},
  optkey = {},
  optannote = {},
  optseries = {},
  address = IEEEAdr,
  localfile = {papers/Zou.2001.CIV.pdf},
  optisbn = {},
  publisher = IEEEPub,
  optkeywords = {},
  doi = {http://doi.ieeecomputersociety.org/10.1109/CGI.2001.934678},
  optmonth = {},
  optciteseer = {},
  opturl = {},
  optcrossref = {},
  optwww = {},
  booktitle = {Proceedings of Computer Graphics International 2001 (Hong Kong,
               jun 2001)},
  optvolume = {},
  optnumber = {},
  abstract = {This paper presents a non-pixel-based skeletonization method for
              vectorizing cartoon images. The constrained Delaunay triangulation
              technique is applied to subdivide a shape into a set of
              non-overlapping triangles. Then, certain triangles in the
              triangulation are merged to remove artifacts. The skeleton of a
              shape is obtained from the skeletons of its constituent parts.
              Experimental results show that the proposed method is more
              accurate and efficient than a typical thinning method.},
  title = {{C}artoon {I}mage {V}ectorization based on {S}hape {S}ubdivision},
  year = {2001},
  pages = {225--231},
}

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