[1]裴向杰,唐红昇,陈鹏. 融合YCbCr肤色分割的不良图像检测算法研究[J].计算机技术与发展,2015,25(12):80-84.
　PEI Xiang-jie,TANG Hong-sheng,CHEN Peng. Research on Objectionable Image Detection Algorithm Based on YCbCr Skin Segmentation[J].,2015,25(12):80-84.
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 融合YCbCr肤色分割的不良图像检测算法研究()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
25
期数:
2015年12期
页码:
80-84
栏目:
智能、算法、系统工程
出版日期:
2015-12-10

文章信息/Info

Title:
 Research on Objectionable Image Detection Algorithm Based on YCbCr Skin Segmentation
文章编号:
1673-629X（2015)12-0080-05
作者:
 裴向杰; 唐红昇; 陈鹏
 江苏省气象局 江苏省气象信息中心
Author(s):
 PEI Xiang-jie; TANG Hong-sheng; CHEN Peng
关键词:
 ; 人脸检测; YCbCr; 肤色面积; 不良图像检测
Keywords:
 ; face detection; YCbCr; skin area; objectionable image detection
分类号:
TP391
文献标志码:
A
摘要:
 针对当今互联网存在大量不良图像信息,严重影响青少年身心健康发展的问题,文中提出了人脸检测结合YCbCr肤色分割的基于肤色比例判断模型的不良图像的检测方法. 首先基于OpenCV人脸检测,筛查出存在人脸的图像;然后通过提取人脸肤色特征,实现基于YCbCr线性运算准确分割图像肤色区域;最后通过建立肤色比例权重模型,计算肤色面积所占比例,从而判断图像是否存在不良信息. 选取正常和不良图像样本进行实验,不良图像检测率达到90%以上,正常图像的检测率达到91%,表明文中检测结构算法能够排除各种复杂背景下的干扰,应用在互联网不良图像检测上达到了良好的效果.
Abstract:
 Aiming at the problem that on the Internet there is a lot of bad image information,it seriously influences the health of body and mind development of teenagers,present a bad image detection method combined face detection with YCbCr color segmentation based on skin color proportion judging model. First of all,based on OpenCV face detection,screen out the existence of human face image,and then by extracting facial skin characteristics,accurately segment skin color area based on YCbCr linear operation. Finally,through the establish-ment of skin color ratio weighting model,calculate proportion of skin color area,so as to judge whether the image is bad information. Se-lect normal and bad image samples for experiment,bad image detection rate reaches more than 90%,the normal image detection rate 91%,which indicated this algorithm can eliminate all kinds of complicated background interference,application test on the Internet bad image detection has achieved good effect.

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更新日期/Last Update: 2016-01-28