[1]曾冬梅,陈锻生.利用双边滤波器和DoG算子的人像卡通化新算法[J].华侨大学学报(自然科学版),2014,35(2):156-160.[doi:10.11830/ISSN.1000-5013.2014.02.0156]
　ZENG Dong-mei,CHEN Duan-sheng.A New Approach for Cartoon-Like Stylization of Video Portrait Based on Bilateral Filter and DoG Operator[J].Journal of Huaqiao University(Natural Science),2014,35(2):156-160.[doi:10.11830/ISSN.1000-5013.2014.02.0156]
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利用双边滤波器和DoG算子的人像卡通化新算法()
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《华侨大学学报（自然科学版）》[ISSN:1000-5013/CN:35-1079/N]

卷:
第35卷
期数:
2014年第2期
页码:
156-160
栏目:
出版日期:
2014-03-20

文章信息/Info

Title:
A New Approach for Cartoon-Like Stylization of Video Portrait Based on Bilateral Filter and DoG Operator
文章编号:
1000-5013(2014)02-0156-05
作者:
曾冬梅;  陈锻生
华侨大学 计算机科学与技术学院, 福建 厦门 361021
Author(s):
ZENG Dong-mei;  CHEN Duan-sheng
College of Computer Science and Technology, Huaqiao University, Xiamen 361021, China
关键词:
双边滤波器;  高斯差分算子;  图像卡通化;  软量化
Keywords:
bilateral filter;  difference of Gaussians operator;  image cartoon-like stylization;  soft quantization
分类号:
TP391
DOI:
10.11830/ISSN.1000-5013.2014.02.0156
文献标志码:
A
摘要:
利用双边滤波器在平滑图像的同时又能保持边缘的良好特性,结合DoG(高斯差分)算子,提出人像卡通化的新算法.该算法首先应用双边滤波器对原始的彩色图像进行平滑,在获得颜色主要特征的同时,去除一些不重要的细节信息,简化了低对比度区域;然后,融入用DoG算子检测到的边缘曲线来增强高对比度区域;最后进行软量化以获得卡通图像.实验结果表明:相对经典的图像抽象化方法而言,该算法获得了更好的图像卡通化效果和更快的速度.
Abstract:
Using the good characteristic that bilateral filter can also preserve edges while smoothing image, combining with DoG(difference of Gaussians)operator, this paper proposes a new approach for cartoon-like stylization of video portrait. First, the approach applied bilateral filter to smooth the original color image. While getting the dominant features of color, it could removal some trivial details and simplify the low contrast regions.Then, the edge curves detected by DoG operator were integrated to enhance the high contrast regions. At last, the soft quantization was applied to stylize portrait. The experimental results show the approach achieves better effect of image cartoon-like stylization and faster speed relative to classic method of image abstraction.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期: 2013-02-28
通信作者: 陈锻生(1959-),男,教授,主要从事计算机视觉与模式识别、机器学习与数据挖掘的研究.E-mail:dschen@hqu.edu.cn.
基金项目: 福建省科技计划重点项目(2011H0028); 福建省科技计划重大项目(2011H6016)
更新日期/Last Update: 2014-03-20