计算机应用与软件2011，Vol.28Issue(4)：154-158,5.
基于人体关键部位检测的敏感图像过滤方法
PORNOGRAPHIC IMAGE FILTERING METHOD BASED ON EROTOGENIC-ZONE DETECTION
摘要
Abstract
At present, many non-pornographic images containing larger exposure of skin area or approximate skin-colour area are often prone to be detected as the pornographic images by most of the pornographic image filtering methods. In order to decrease the false detection rate, a new pornographic image filtering method based on erotogenic-zone detection is proposed in the paper. The method extracts main features, including skin-colour features, HOG features which describe the shape and appearance of local objects, spatial distribution based features and Haar-like features which describe local grayscale distribution, trains and obtains the classifier of erotogenic-zone recognition with Adaboost learning algorithm, and achieves the pornographic image filtering through the classifier. Results gained from the experiments confirmed that this method can precisely detect erotogenic-zone in an image, and can effectively reduce the fault detection rate against nonpornographic images.关键词
敏感图像过滤/Adaboost/学习算法/肤色特征/HOG特征Key words
Pornographic image filtering/ Adaboost learning algorithm/ Skin-colour feature/ HOG Feature引用本文复制引用
陆蓓,巩玉旺,姚金良,周建政..基于人体关键部位检测的敏感图像过滤方法[J].计算机应用与软件,2011,28(4):154-158,5.基金项目
浙江省科技厅重大专项项目(2010C11049) （2010C11049）
