[1]陈立伟,王颖芳.皮肤纹理检测技术[J].应用科技,2010,37(07):48-51.[doi:10.3969/j.issn.1009-671X.2010.07.012]
 CHEN Li-wei,WANG Ying-fang.Skin texture detection technology[J].Applied science and technology,2010,37(07):48-51.[doi:10.3969/j.issn.1009-671X.2010.07.012]
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皮肤纹理检测技术(/HTML)
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《应用科技》[ISSN:1009-671X/CN:23-1191/U]

卷:
第37卷
期数:
2010年07期
页码:
48-51
栏目:
现代电子技术
出版日期:
2010-07-05

文章信息/Info

Title:
Skin texture detection technology
文章编号:
1009-671X(2010)07-0048-04
作者:
陈立伟王颖芳
(哈尔滨工程大学信息与通信工程学院,黑龙江哈尔滨150001)
Author(s):
CHEN Li-weiWANG Ying-fang
(College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China)
关键词:
边缘检测纹理粒子群算法皮肤检测Gabor小波变换
Keywords:
edge detection texture PSO skin detection Gabor wavelet transform
分类号:
TP391.4
DOI:
10.3969/j.issn.1009-671X.2010.07.012
文献标志码:
A
摘要:
提出一种将基于粒子群模糊聚类算法的边缘检测方法和Gabor小波变换相结合来进行皮肤纹理检测的方法.用边缘检测的方法将明显具有很多边缘的肤色区域剔除,对于没有明显纹理的皮肤区域用Gabor小波变换进行皮肤的纹理检测.仿真结果表明,所研究的方法正检率获得提高,误检率有所下降,是一种有效的皮肤纹理检测技术.
Abstract:
A skin texture detection method based on particle swarm optimization(PSO) fuzzy clustering algorithm and Gabor wavelet transform is proposed in this article. The algorithm can remove a lot of edges of the color area with edge detection. Meanwhile the Gabor wavelet transform is used to achieve skin texture detection in the area which is not apparent texture of the skin. Simulation results show that the proposed algorithm can get a high correct detection rate and reduce the false detection rate; it is an effective skin texture detection technology.

参考文献/References:

[1]段丽娟.基于内容的图像检索与过滤关键技术研究[D].北京:中国科学计算机技术研究所,2002.
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备注/Memo

备注/Memo:
基金项目:国家自然科学基金资助项目(60702053).
作者简介:陈立伟(1974-),女,副教授,博士,主要研究方向:信号与信息处理,E-mail:chenliwei@hrbeu.edu.cn.
更新日期/Last Update: 2010-08-20