首先基于差分图像和肤色信息检测出人脸，其次使用改进的奇异值分解方法提取面部特征，最后运用最小距离分类器进行识别。
First based on the difference image and the skin color the face is detected and localized, then features are extracted by using improved SVD, last the features is classified by minimal distance.
模糊脉冲噪声检测器用窗口内的中值与邻近像素信息来检测脉冲噪声，而脉冲消除器用最小最大值算法来计算噪声像素的估计值。
The fuzzy impulse noise detector using median value and neighbourhood information detects impulse noise. The impulse noise canceller USES minimum -maximum estimate method.
该检测器通过两个滤波器分别控制检测器的收敛速度和稳态性，并在最小均方误差的准则下调整权值比例。
The convergence speed and misadjustment can be controlled separately using a complementary pair filters. And under the criterion of the least mean square error, the proportion of weight is adjusted.
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