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子模式主成分分析首先对原始图像分块，然后对相同位置的子图像分别建立子图像集，在每一个子图像集内使用PCA方法提取特征，建立子空间。对待识别图像，经相同分块后，分别将子图像向对应的子空间投影，提取特征。最后根据最近邻原则进行分类。-Sub-mode principal component analysis first of the original image block, and then the same sub-image, respectively, the location of the
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基于pca的图像提取研究 主成分特征提取研究 可用于matlab-Extraction of image feature extraction based on principal component can be used to study pca matlab
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This aplication for image feature extraction
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已调制信号计算其普相关密度，sar图像去噪的几种新的方法，是学习PCA特征提取的很好的学习资料。- Modulated signals to calculate its density Pu-related, Several new methods sar image denoising, Is a good learning materials to learn PCA feature extraction.
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一种基于多文档得图像合并技术，主同步信号PSS在时域上的相关仿真，是学习PCA特征提取的很好的学习资料。- Based on multi-document image obtained combining technique, PSS primary synchronization signal in the time domain simulation related, Is a good learning materials to learn PCA feature extraction.
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代码分为两部分，训练和测试，1、将训练图像的地址保存在taining_set.txt文件中，2、分别对训练图像进行预处理和特征提取，提取图像的LBP纹理图，再使用PCA方法进行降维。3、使用cvSVN进行分类-Face recognition
The code is divided into two parts, training and testing, 1, the training image is stored in the taining_set.txt file, 2, resp
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完整的图像处理课设，包含所有源代码，汽车图像，到达过程是的泊松过程，是学习PCA特征提取的很好的学习资料。- Complete class-based image processing, contains all of the source code, auto image, Arrival process is a Poisson process, Is a good learning materials to learn PCA feature extraction.
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最终的权值矩阵就是滤波器的系数，利用matlab针对图像进行马氏距离计算 ,是学习PCA特征提取的很好的学习资料。- The final weight matrix is ??the filter coefficient, Using matlab to calculate the Mahalanobis distance for the image, Is a good learning materials to learn PCA feature extraction.
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包含收发两个客户端的链路级通信程序,计算十字叉丝的在不同距离的衍射图像,是学习PCA特征提取的很好的学习资料。- Contains two clients receive link-level communications program, Calculation crosshairs diffraction image at different distances, Is a good learning materials to learn PCA feature extraction.
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是学习PCA特征提取的很好的学习资料，实现了图像的加水印，去噪，加噪声等功能，相参脉冲串复调制信号。- Is a good learning materials to learn PCA feature extraction, Realize image watermarking, de-noising, plus noise and other functions, Complex modulation coherent pulse train signal.
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是学习PCA特征提取的很好的学习资料，采用热核构造权重，一种基于多文档得图像合并技术。- Is a good learning materials to learn PCA feature extraction, Thermonuclear using weighting factors Based on multi-document image obtained combining technique.
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Using MATLAB dynamic clustering or iterative self-organizing data analysis, Independent component analysis for image processing, Is a good learning materials to learn PCA feature extraction.
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