ETRI-Knowledge Sharing Plaform

KOREAN
논문 검색
Type SCI
Year ~ Keyword

Detail

Journal Article Pixel Based Stroke Generation for Painterly Effect Using Maximum Homogeneity Neighbor Filter
Cited 7 time in scopus Share share facebook twitter linkedin kakaostory
Authors
SangHyun Seo, HunJoo Lee
Issue Date
2014-01
Citation
Multimedia Tools and Applications, v.74, no.10, pp.3317-3328
ISSN
1380-7501
Publisher
Springer
Language
English
Type
Journal Article
DOI
https://dx.doi.org/10.1007/s11042-013-1835-8
Abstract
In this paper, we introduce a new brush stroke generation method for painterly effect. Instead of using the gradient of the source image to determine the stroke direction, we extract regions that can be drawn in one stroke using Maximum Homogeneity Neighbor filtering followed by identification of connected components considering the homogeneity of pixels. We can make a brush stroke from each component based on a least squares approximation to the medial axis. This method results in realistic looking brush strokes of varying width that have irregular directions where necessary.
KSP Keywords
Brush stroke, Component-based, Least Squares(LS), Least squares approximation, Maximum homogeneity neighbor filter, Medial axis, Painterly effect, Stroke generation, connected component