This paper presents an algorithm about SAR image change detection based on Principal Component Analysis (PCA).

该文提出一种基于主分量分析(pca)的SAR图像变化检测算法。

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The microstructure component in tunica media of umbilical cord vein were measured by the computer image analysis system.

光镜观察后，用计算机图像分析系统测量其中膜显微结构成分的相对含量。

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The algorithm of face recognition based on kernel principal component analysis(KPCA)can abstract nonlinear features of image and can get better performance under less sample training conditions.

基于核主成分分析（KPCA）的人脸识别算法能够提取非线性图像特征，在小样本训练条件下有较好性能。

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