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基于纹理的皮肤检测
引用本文:李雁,申铉京,赵德斌. 基于纹理的皮肤检测[J]. 计算机工程与应用, 2003, 39(19): 74-77
作者姓名:李雁  申铉京  赵德斌
作者单位:1. 吉林大学计算机科学与技术学院,长春,130025
2. 哈尔滨工业大学计算机科学与工程系,哈尔滨,150001
基金项目:国家863高技术研究发展计划项目资助(编号:2001AA140221)
摘    要:实时敏感图像检测可以有效地控制国际互连网中的色情图像传播。它的检测手段主要是对皮肤区域进行辨识,而皮肤纹理检测又是皮肤区域辨识中的重要内容。该文采用基于DCT变换和Gabor小波变换两种方法进行皮肤纹理的特征提取,提取的特征作为高斯混合模型(GMM)输入向量,然后通过GMM进行皮肤纹理检测。实验是在360幅敏感图像以及2400幅经过分类的非敏感图像的测试集进行,结果表明基于Gabor小波变换的皮肤纹理检测取得了比基于DCT变换更好的效果,其正检率可以达到95%。

关 键 词:纹理  皮肤检测  DCT变换  Gabor小波变换
文章编号:1002-8331-(2003)19-0074-04
修稿时间:2002-11-01

Texture-based Skin Detection
Li Yan Shen Xuanjing Zhao Debin. Texture-based Skin Detection[J]. Computer Engineering and Applications, 2003, 39(19): 74-77
Authors:Li Yan Shen Xuanjing Zhao Debin
Affiliation:Li Yan 1 Shen Xuanjing 1 Zhao Debin 21
Abstract:Real-time detection of pornographic images can effectively prevent pornographic images from spreading on the Internet.Its detection methods mainly focus on the identification of skin region in which skin texture detection plays an important role.In this paper,two methods based on DCT and Gabor wavelet transform are respectively proposed to extract the features of skin texture.The extracted features are inputted into Gaussian mixture model(GMM)with which the skin texture detection is performed.Experiments are carried on a test set of360pornographic images and2400as-sorted control images.Experimental results show that Gabor wavelet transform based skin texture detection has better performance than DCT-based,and its correct detection rate can reach95%.
Keywords:Texture  Skin detection  Discrete cosine transform  Gabor wavelet transform  
本文献已被 CNKI 维普 万方数据 等数据库收录!
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