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Description: （1）应用9×9的窗口对上述图象进行随机抽样，共抽样200块子图象；
（2）将所有子图象按列相接变成一个81维的行向量；
（3）对所有200个行向量进行KL变换，求出其对应的协方差矩阵的特征向量和特征值，按降序排列特征值以及所对应的特征向量；
（4）选择前40个最大特征值所对应的特征向量作为主元，将原图象块向这40个特征向量上投影，所获得的投影系数就是这个子块的特征向量。
（5）求出所有子块的特征向量。
-(1) the application of 9 × 9 window of these images at random, a total sample of 200 sub-image (2) all sub-images according to out-phase into a 81-dimensional row vector (3) all 200 lines for KL transform vector, derived its corresponding covariance matrix of eigenvectors and eigenvalues, in descending order by eigenvalue and the corresponding eigenvector (4) a choice to 40 corresponding to the largest eigenvalue eigenvector as the PCA, the original image block to the 40 feature vectors on the projection, the projection coefficients obtained by this sub-block eigenvector. (5) calculated for all sub-block eigenvector.
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Size: 64512 |
Author: ly |
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Description: 主成分分析方法（PCA），PCA算法的理论依据是K-L变换，通过一定的性能目标来寻找线性变换W，实现对高维数据的降维。-Principal component analysis (PCA), PCA algorithm is based on the theory of KL transform, through a certain performance targets to find the linear transformation W, the realization of high-dimensional data, dimensionality reduction.
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Size: 1024 |
Author: 李伟 |
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Description: MPCA一个博士编写的多线程pca变换方法，内含发表论文-Dr. MPCA prepared a multi-threaded PCA transform methods, including papers
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Size: 2073600 |
Author: 宁先生 |
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Description: 主成份变换的一个小程序；简单实用。值得一看-Principal Component Transform a small procedures simple and practical. Worth a visit
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Size: 1951744 |
Author: wutao |
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Description: 关于主成份分析的vc++源码，注释详细，以KL变换为基础，使特征将维。-Principal component analysis on the vc++ Source, comments, detail, based on KL transform, so that will be characterized by Victoria.
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Size: 242688 |
Author: 陈平 |
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Description: 实现图像之间的数据融合，主要方法有基于HIS变换的，基于PCA变换的，基于加权变换的。-Between image data fusion, the main methods of transformation based on the HIS, based on the PCA transform, based on the weighted transform
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Size: 5120 |
Author: 芯琪 |
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Description: 基于PCA变换的小波变换融合，附有操作流程说明。-PCA based on wavelet transform integration processes with a note.
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Size: 28672 |
Author: 朱方圆 |
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Description: 共享主成份尺度不变变换PCA-SIFT代码，用于SAR图像配准，希望对各位雷达爱好者和SAR工作者有用！-Principle component analysis, PCA- Scale invariant feature transform-SIFT used for SAR processing.
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Size: 681984 |
Author: 北京 |
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Description: PCA人脸识别算法，识别率达到99 ，采用小波变换的方法及主成分分析法。-PCA face recognition algorithm, the recognition rate up to 99 , using wavelet transform methods and principal component analysis.
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Size: 1024 |
Author: Tiko |
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Description: 用于图像融和的窗口化工具，包含了几乎所有的常用融和算法：pca, Ihs, 金子塔,小波变换，多孔小波变换，brovey融合等。-The window for image integration tools, including almost all of the commonly used integration algorithm: pca, Ihs, pyramid, wavelet transform, multi-Kong Xiaobo transformation, brovey integration.
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Size: 46080 |
Author: 王文波 |
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Description: 本文设计基于DCT的人脸识别系统，首先结合当今人脸识别的背景和发展状况讨论了人脸识别的研究内容及在各方面的应用；然后研究了人脸识别进行预处理，讨论了人脸识别预处理的其他方法，分析各种方法的利弊，最后采用DCT（离散余弦变换）实现人脸图像预处理中的降维处理；接下来对人脸图像的特征提取进行了研究，简单叙述了几何特征提取和代数特征提取，同时深入研究了基于DCT和PCA变换的人脸图像特征提取，从而实现是否对人脸识别系统识别率有所提高的研究；对于分类器的选择，本文对两种分类器进行了探讨，即最近邻分类器和BP神经网络分类器，同时采用BP神经网络分类器作为本次基于DCT的人脸识别系统设计的分类器，并对BP神经网络进行分类的算法进行设计，BP神经网络具有学习功能，只要采用本系统对训练图片进行训练，就可以记下图像的相关信息，对于测试图片，就可以很准确的识别出该图片是属于哪个的。最后，本文对整个人脸识别系统设计实验进行了实验分析，实验结果表明本文采用的方法切实有效。- This is the design of the DCT-based face recognition systems. First of all, the background light of the current face recognition and face recognition to discuss the development of research in all aspects of content and applications And then studied the pretreatment of face recognition to discuss the pre-treatment of other face recognition methods,and analysis of the pros and cons of various methods, finally, the use of DCT (discrete cosine transform) image pre-processing to achieve in the face of the reduced-order processing Next on the face image feature extraction have been studied, A brief description of the feature extraction and algebraic geometry feature extraction, while in-depth study based on the DCT and the PCA Transform face image feature extraction in order to achieve face recognition system to identify whether the rate of increase in the research For the choice of classifier, this paper carried out on two of classifier, that is, nearest neighbor classifier and BP neura
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Author: 刘文珍 |
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Description: 首先进行小波变换，在此基础上进行pca特征提取，在进行lda特征提取，用于人脸识别-First, wavelet transform, in this based on pca feature extraction, feature extraction during lda for face recognition
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Size: 2048 |
Author: gu |
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Description: 基于PCA变换的多传感器图像融合质量评价-Quality Assessment of Multi-source Image Fusion Based on PCA Transform
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Size: 123904 |
Author: zhang |
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Description: PCA:Principal Components Analysis
It computes Principal Component Analysis, i.e., the linear transform which makes data uncorrelated and minize the reconstruction error.
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Size: 1024 |
Author: Lara |
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Description: ：根据小波低频子带图像的轮廓模糊度和高频子带图像的细节信息量随小波分解层数增多而增多的规律，从图像熵
出发，提出了一种基于低频子带图像熵差的最佳小波分解层数选择法, 该方法通过计算不同分解层数下各低频子带的图像
熵差，选择最接近原始图像熵差的分解层数作为最佳分解层数。用多种基于小波变换的图像融合法分别对两组医学图像进
行仿真实验，结果表明根据该分解层数选择法得到的融合图像目视效果最好，与相关系数、峰值信噪比、模糊Chebyshev 距离
值等客观评价指标保持了很好的一致性。
-Abstract：According to the law that the contour fuzziness of the low-frequency sub-band and the detail information of the high-frequency
sub-band increase with the growth of the wavelet decomposition levels, an effect selection method of the optimal decomposition level is
proposed. Firstly, the difference of original image entropy is calculated. Then, the differences of the low-frequency sub-image entropy
based on different decomposition level are calculated. Finally, the decomposition level which makes the difference of the low-frequency
sub-image entropy closest to the difference of original image entropy is found. This level is the optimal decomposition level. To fuse
two groups of medical images, simulation experiments are done by use of the wavelet transform and the PCA transform based on wavelet.
The experimental result indicates that the fusion image used by the proposed method has the best subjective feeling of human being, and
it has very good compatibility to objective
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Size: 160768 |
Author: 杨颜华 |
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Description: 对整幅图片做PCA变换，提取光谱特征，消除噪声，平滑边缘，易主成分重新绘制图像-Pictures do the whole PCA transform, extract spectral features, remove noise, smooth edges, easy to re-draw the image principal component
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Size: 1024 |
Author: 深海鑫蓝 |
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Description: 本程序是一个MATLAB PCA变换的人脸识别程序，提供了简单的例子方便大家学习。-This program is a MATLAB PCA transform for face recognition process, provides a simple example will help you learn.
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Size: 3195904 |
Author: 龙家辰 |
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Description: 实现pca变换，图像处理，算法，程序部分，主成分分析-Achieve pca transform, image processing, algorithm, program section, principal component analysis
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Size: 4096 |
Author: 王蒙 |
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Description: FACE RECOGNITION USING K-L TRANSFORM on ORL face database
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Size: 3079168 |
Author: Mahesh Chandra |
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Description: 本程序是先用gabor小波变换对人脸图像处理，然后在用pca进行降维，最后用svm分类器进行多分类分类识别，包扩完整的orl人脸库，需注意的是，svm工具箱是用的libsvm工具箱，运行前先配置好libsvm。版本号：libsvm-mat-2[1].89-3[FarutoUltimate3.0]-This procedure is to use the human face gabor wavelet transform image processing, and then to reduce the dimensions with pca, and finally multi-category classification svm classification and recognition, including the expansion of the complete orl face database, must be noted that, svm toolbox is to use the libsvm toolbox, configured before running libsvm. Version: libsvm-mat-2 [1] .89-3 [FarutoUltimate3.0]
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Size: 11366400 |
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