Institutional Repository
| stroke extraction in cartoon images using edge-enhanced isotropic nonlinear filter | |
| Huang Mengcheng; Yang Meng; Liuy Fang; Wuz En-Hua | |
| 2010 | |
| Conference Name | 9th ACM SIGGRAPH International Conference on VR Continuum and Its Applications in Industry, VRCAI 2010 |
| Source | Proceedings - VRCAI 2010, ACM SIGGRAPH Conference on Virtual-Reality Continuum and Its Application to Industry |
| Pages | 33-38 |
| Conference Date | 40878 |
| Conference Place | Seoul, Korea, Republic of |
| Indexed Type | EI |
| Publish Place | United States |
| ISBN | 9781450000000 |
| Department | (1) Institute of Software, Chinese Academy of Sciencesz, China; (2) University of Macau, China; (3) SuperComputing Center, Computer Network Information Center, Chinese Academy of Sciences, China |
| English Abstract | This paper presents an edge-enhanced isotropic nonlinear filter to extract strokes from cartoon images. The algorithm starts by removing most non-stroke regions that have high brightness values using an adaptive threshold. According to the property of dark outline in cartoon images, A Laplacian of Gaussian filter is applied to enhance the isotropic responses of boundary pixels in the stroke. Compared to existing stroke extraction methods, our algorithm can extract strokes in its entirety, and faithfully preserve the details on the stroke boundaries, especially for noisy images. Experimental results show that the proposed algorithm can produce more robust and accurate extraction results on a variety style of cartoon images. Copyright © 2010 by the Association for Computing Machinery, Inc. |
| Keyword | Algorithms Gaussian Distribution Interactive Computer Graphics Laplace Transforms Nonlinear Filtering |
| Sponsorship | ACM SIGGRAPH |
| Content Type | 会议论文 |
| URI | http://ir.iscas.ac.cn/handle/311060/8920 |
| Collection | 基础软件与系统重点实验室 |
| Recommended Citation GB/T 7714 | Huang Mengcheng,Yang Meng,Liuy Fang,et al. stroke extraction in cartoon images using edge-enhanced isotropic nonlinear filter[C]. United States,2010:33-38. |
| Files in This Item: | ||||||
| File Name/Size | DocType | Version | Access | License | ||
| p33-huang.pdf（1506KB） | 开放获取 | -- | Application Full Text | |||
Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.
Edit Comment