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中文摘要：
肤色分割是彩色图像人脸检测中常用的算法．本文提出了一种应用于DCT（Discrete Cosine Transfom）压缩域的肤色分割算法．采用三维椭圆模型对肤色在YCbCr空间的聚类进行准确描述．统计表明亮度对肤色在色度平面上的聚类有非线性的影响．为了准确描述这种非线性关系，依据亮度变化采用不同参数的椭圆表示肤色在色度平面上的聚类，形成三维椭圆模型．利用亮度分量的交流系数对上述固定模型的初分割结果进行自适应修正，进一步去除背景噪声．实验结果表明本文提出的算法是一种有效的压缩域肤色分割方法．
英文摘要：
Skin color segmentation is a fundamental approach in the domain of face detection of color images. An algorithm of skin color segmentation applied in the DCT compressed domain is proposed. The 3D ellipse model is used to characterize the statistic feature of skin color in YCbCr space. Research has shown that luminance has a non-linear effect on the cluster of skin colors in the chromatic plane. Different ellipses are used to describe the cluster of skin colors with different luminances, and the image is segmented by this model using DC （Direct Current） coefficients. On the observation that the texture feature of the skin color area is similar in the same image, the segmentation result is refined using AC （ Alternating Current） coefficients. Background noise which is left in the first segmentation is removed by adaptive segmentation. Experimental results show that the peoposed algorithm is an effective skin color segmentation method in the compressed domain.
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