Skin color detection using artificial immune networks

G. Luh
{"title":"Skin color detection using artificial immune networks","authors":"G. Luh","doi":"10.1109/ICMLC.2012.6359650","DOIUrl":null,"url":null,"abstract":"Skin detection is the key technology in various image processing applications such as face detection. The aim of skin detection is to determine if a color pixel is a skin or non-skin color. Skin color is often considered to be a useful and discriminating image feature for facial area since it provides computationally effective yet, robust to variation in scale, orientation and partial occlusion. Nevertheless, skin detection is also an extremely challenging task since the skin color is sensitive to various factors such as illumination, ethnicity, individual characteristics and subject appearances. In this paper, an artificial immune network based skin detection scheme in several skin color spaces is proposed. Particle swarm optimization is employed to train/optimize skin/non-skin immune network classifiers. The performance of the method was evaluated employing images derived from the Internet.","PeriodicalId":128006,"journal":{"name":"2012 International Conference on Machine Learning and Cybernetics","volume":"60 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 International Conference on Machine Learning and Cybernetics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMLC.2012.6359650","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

Skin detection is the key technology in various image processing applications such as face detection. The aim of skin detection is to determine if a color pixel is a skin or non-skin color. Skin color is often considered to be a useful and discriminating image feature for facial area since it provides computationally effective yet, robust to variation in scale, orientation and partial occlusion. Nevertheless, skin detection is also an extremely challenging task since the skin color is sensitive to various factors such as illumination, ethnicity, individual characteristics and subject appearances. In this paper, an artificial immune network based skin detection scheme in several skin color spaces is proposed. Particle swarm optimization is employed to train/optimize skin/non-skin immune network classifiers. The performance of the method was evaluated employing images derived from the Internet.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于人工免疫网络的皮肤颜色检测
皮肤检测是人脸检测等各种图像处理应用中的关键技术。皮肤检测的目的是确定颜色像素是皮肤颜色还是非皮肤颜色。肤色通常被认为是一个有用的和区分面部区域的图像特征,因为它提供了计算有效的,并且对尺度,方向和部分遮挡的变化具有鲁棒性。然而,皮肤检测也是一项极具挑战性的任务,因为肤色对光照、种族、个体特征和受试者外表等各种因素都很敏感。本文提出了一种基于人工免疫网络的多肤色空间皮肤检测方案。采用粒子群算法对皮肤/非皮肤免疫网络分类器进行训练/优化。利用来自互联网的图像对该方法的性能进行了评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
ROBUST H∞ filtering for a class of nonlinear uncertain singular systems with time-varying delay Discriminati on between external short circuit and internal winding fault in power transformer using discrete wavelet transform and back-propagation neural network Hybrid linear and nonlinear weight Particle Swarm Optimization algorithm Transcriptional cooperativity in molecular dynamics based on normal mode analysis An efficient web document clustering algorithm for building dynamic similarity profile in Similarity-aware web caching
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1