Title :
Unbiased Curvilinear Structure Extraction for Cartoon Images
Author :
Ping, Yang ; Guozhao, Wang
Author_Institution :
Math. Dept., Zhejiang Univ., Hangzhou, China
Abstract :
In this paper, a novel method for unbiased curvilinear structure extraction of cartoon images is proposed. Our method based on Delaunay triangulation can extract two types of curves, decorative curves and boundary curves, with sub-pixel accuracy. In order to make it, we start by estimating edge points from both types of curves, using the information of the curves and their surroundings. According to the properties of Delaunay triangulation on edge points, we not only estimate the precise position of curve points, but also find the connection relationships of decorative curve points. Compared with related curvilinear structure extraction algorithm, our method can compute the unbiased position of decorative curve points and boundary curve points and, more importantly, keep the topological relationship of decorative curves well.
Keywords :
computer animation; feature extraction; mesh generation; Delaunay triangulation; cartoon images; unbiased curvilinear structure extraction; Accuracy; Algorithm design and analysis; Image color analysis; Image edge detection; Joining processes; Kernel; Polynomials; Delaunay triangulation; cartoon images; curvilinear structure; decorative curve; topological relationship;
Conference_Titel :
Voronoi Diagrams in Science and Engineering (ISVD), 2011 Eighth International Symposium on
Conference_Location :
Qingdao
Print_ISBN :
978-1-4577-1026-1
Electronic_ISBN :
978-0-7695-4483-0
DOI :
10.1109/ISVD.2011.37