Cartoon image vectorization based on shape subdivision

Ju Jia Zou; Hong Yan

Cartoon image vectorization based on shape subdivision

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

30 Citations (Scopus)

Abstract

![CDATA[This paper presents a non-pixel-based skeletonizataon 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. Experiment results show that the proposed method is more accurate and efficient than a typical thinning method.]]

Original language	English
Title of host publication	Proceedings of Computer Graphics International 2001 (CGI 2001), 3-6 July 2001, City University of Hong Kong, Hong Kong
Publisher	IEEE
Pages	225-231
Number of pages	7
ISBN (Print)	769510078
Publication status	Published - 2001
Event	Computer Graphics International - Duration: 3 Jul 2001 → …

Publication series

Name
ISSN (Print)	1530-1052

Conference

Conference	Computer Graphics International
Period	3/07/01 → …

Keywords

computer animation
constrained Delaunay triangulation
image processing
skeletonization
thinning

Cite this

@inproceedings{a251d45108034b3ebd45db5de5012198,

title = "Cartoon image vectorization based on shape subdivision",

abstract = "![CDATA[This paper presents a non-pixel-based skeletonizataon 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. Experiment results show that the proposed method is more accurate and efficient than a typical thinning method.]]",

keywords = "computer animation, constrained Delaunay triangulation, image processing, skeletonization, thinning",

author = "Zou, {Ju Jia} and Hong Yan",

year = "2001",

language = "English",

isbn = "769510078",

publisher = "IEEE",

pages = "225--231",

booktitle = "Proceedings of Computer Graphics International 2001 (CGI 2001), 3-6 July 2001, City University of Hong Kong, Hong Kong",

note = "Computer Graphics International ; Conference date: 03-07-2001",

}

TY - GEN

T1 - Cartoon image vectorization based on shape subdivision

AU - Zou, Ju Jia

AU - Yan, Hong

PY - 2001

Y1 - 2001

N2 - ![CDATA[This paper presents a non-pixel-based skeletonizataon 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. Experiment results show that the proposed method is more accurate and efficient than a typical thinning method.]]

AB - ![CDATA[This paper presents a non-pixel-based skeletonizataon 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. Experiment results show that the proposed method is more accurate and efficient than a typical thinning method.]]

KW - computer animation

KW - constrained Delaunay triangulation

KW - image processing

KW - skeletonization

KW - thinning

UR - http://handle.uws.edu.au:8081/1959.7/uws:30932

M3 - Conference Paper

SN - 769510078

SP - 225

EP - 231

BT - Proceedings of Computer Graphics International 2001 (CGI 2001), 3-6 July 2001, City University of Hong Kong, Hong Kong

PB - IEEE

T2 - Computer Graphics International

Y2 - 3 July 2001

ER -

Cartoon image vectorization based on shape subdivision

Abstract

Publication series

Conference

Keywords

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