摘要
随着网络和多媒体技术的发展,互联网中色情图像的传播越来越泛滥,为有效地过滤敏感图像,文章提出一种基于Otsu自适应阈值分割的人体面积比例计算方法。整个检测系统利用人体肤色模型和面部识别模型,并结合面积比例识别算法等图像特征识别技术,实现对网络敏感图像的检测。实验结果表明,该方法具有较高的准确率和较快的实时在线检测速度,具有良好的实用性和应用价值。
To detect and filter illegal pornographic images effectively,this paper proposes an identification method of area ratio which based on adaptive threshold segmentation of Otsu.The detection system aims to realize the filtering of pornographic images with combining skin color model,face recognition model and identification technology of image features,such as the identification algorithms of area ratio.The results show that this method has higher accuracy and quick speed of on-line detection,and has better practicability and application value.
出处
《现代电信科技》
2010年第12期40-44,49,共6页
Modern Science & Technology of Telecommunications
基金
国家自然科学基金(60873079)
重庆市教委科学技术研究项目(KJ100508)MSTTDecember2010
关键词
阈值分割
识别算法
面积比例
检测
threshold segmentation
identification algorithms
area ratio
detection
