中国科学院软件研究所机构知识库
Advanced  
ISCAS OpenIR  > 软件所图书馆  > 期刊论文
Title:
Coherence-enhancing line drawing for color images
Author: Wang ShanDong ; Ma ZiYang ; Liu XueHui ; Chen YanYun ; Wu EnHua
Keyword: non-photorealistic rendering ; line drawing ; FDoG filter ; coherence-enhancing ; real-time computation
Source: SCIENCE CHINA-INFORMATION SCIENCES
Issued Date: 2013
Volume: 56, Issue:11
Indexed Type: SCI
Department: [Wang ShanDong; Ma ZiYang; Liu XueHui; Chen YanYun; Wu EnHua] Chinese Acad Sci, Inst Software, State Key Lab Comp Sci, Beijing 100190, Peoples R China. [Wang ShanDong; Wu EnHua] Univ Macau, Dept Comp & Informat Sci, Taipa, Peoples R China. [Wang ShanDong; Ma ZiYang; Wu EnHua] Chinese Acad Sci, Grad Univ, Beijing 100190, Peoples R China.
Abstract: Line drawing plays an important role in many image-based non-photorealistic applications. However, most existing approaches use a grayscale edge detector for line extraction, so that only luminance differences between nearby image pixels is taken into account, but the chrominance differences is ignored. This leads to the undesirable consequence that visually significant edges in adjacent regions with different colors of similar luminance cannot be detected. To address this limitation, we present a novel enhanced line drawing method based on a flow-based difference-of-Gaussians (FDoG) filter. Because of an inherent property of the thresholded DoG edge model, captured lines may appear dislodged from the true edges in the image. To this end, we provide a gradient-guided warping technique so that smooth and coherent lines can be extracted in the correct location. The GPU implementation of the proposed algorithms allows real-time performance, and experimental examples with various color images demonstrate the method's superior qualitative performance over previous approaches.
English Abstract: Line drawing plays an important role in many image-based non-photorealistic applications. However, most existing approaches use a grayscale edge detector for line extraction, so that only luminance differences between nearby image pixels is taken into account, but the chrominance differences is ignored. This leads to the undesirable consequence that visually significant edges in adjacent regions with different colors of similar luminance cannot be detected. To address this limitation, we present a novel enhanced line drawing method based on a flow-based difference-of-Gaussians (FDoG) filter. Because of an inherent property of the thresholded DoG edge model, captured lines may appear dislodged from the true edges in the image. To this end, we provide a gradient-guided warping technique so that smooth and coherent lines can be extracted in the correct location. The GPU implementation of the proposed algorithms allows real-time performance, and experimental examples with various color images demonstrate the method's superior qualitative performance over previous approaches.
Language: 英语
WOS ID: WOS:000329537800007
Citation statistics:
Content Type: 期刊论文
URI: http://ir.iscas.ac.cn/handle/311060/16903
Appears in Collections:软件所图书馆_期刊论文

Files in This Item:

There are no files associated with this item.


Recommended Citation:
Wang ShanDong,Ma ZiYang,Liu XueHui,et al. Coherence-enhancing line drawing for color images[J]. SCIENCE CHINA-INFORMATION SCIENCES,2013-01-01,56(11).
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Wang ShanDong]'s Articles
[Ma ZiYang]'s Articles
[Liu XueHui]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Wang ShanDong]‘s Articles
[Ma ZiYang]‘s Articles
[Liu XueHui]‘s Articles
Related Copyright Policies
Null
Social Bookmarking
Add to CiteULike Add to Connotea Add to Del.icio.us Add to Digg Add to Reddit
所有评论 (0)
暂无评论
 
评注功能仅针对注册用户开放,请您登录
您对该条目有什么异议,请填写以下表单,管理员会尽快联系您。
内 容:
Email:  *
单位:
验证码:   刷新
您在IR的使用过程中有什么好的想法或者建议可以反馈给我们。
标 题:
 *
内 容:
Email:  *
验证码:   刷新

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.

 

 

Valid XHTML 1.0!
Copyright © 2007-2019  中国科学院软件研究所 - Feedback
Powered by CSpace