搜索资源列表
PCA.rar
- 用主成分分析法提取人脸图像特征的程序，算法理论依据是K-L变换,Principal Component Analysis with face image feature extraction process
imagefusion
- 图像融合程序大全 （有图）包括IHS PCA 拉普拉斯 PCNN 小波 超好！-the total of image fusion (pictures)
pca
- 本程序利用matlab语言，实现了对高光谱遥感图像的读取并做主成分分析，将结果按贡献率大小顺序排列并显示出来。-This procedure using matlab language to achieve a high spectral remote sensing image analysis components to read and call the shots, according to the results in order of contribution size and di
pp
- 主元分析 (Principal Component Analysis, PCA) 又叫：Karhunen-Loeve变换 (KLT)、Hotelling变换。 假设已经从图象已经缩放为N*M大小。 m幅N*M大小的图象Xi作为n*1列向量看待-PCA (Principal Component Analysis, PCA) also known as: Karhunen-Loeve Transform (KLT), Hotelling transform.
fusion_IHS
- 实现常用的IHS,PCA 加权三种图像融合算法-To achieve common IHS, PCA three-weighted image fusion algorithm
imagefusion
- 图像融合算法，高通滤波法、IHS法、PCA主成分分析、小波融合、小波和IHS结合的融合方法-Image fusion algorithms, high-pass filtering, IHS method, PCA principal component analysis, wavelet fusion, wavelet and IHS fusion method combining
BasedonprincipalcomponentanalysisoftheFaceRecognit
- 在特征提取阶段，研究了PCA, 2DPCA, (2D) 2PCA, DiagPCA, DiagPCA-F-2DPCA等多 种方法。不同于基于图象向量的PCA特征提取，由于2DPCA, (2D) ZPCA, DiagPCA和 DiagPCA-I-2DPCA的特征提取都直接基于图象矩阵，计算量小，所以特征的提取速度明 显高于PCA方法。-In the feature extraction stage, the study of the PCA, 2DPCA, (2D) 2PCA,
ImagefusionPCAandIHS
- 给出了图像融合中三种经典的融合算法：加权融合、PCA融合和IHS融合。程序中有比较详细的说明，特别适合初学图像融合者使用-Image fusion are given the convergence of three classical algorithms: weighted fusion, PCA fusion and IHS fusion. Procedures are a more detailed explanation, especially for beginners to use
ImageFusionTools
- 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 i
23825772hyperspectral
- 高光谱图像的一系列处理包括了例如融合压缩pca变换等等等等的程序。-Hyperspectral image processing includes a series of transformations such as the integration of compression pca, etc., etc. procedures.
chapter13
- 《数字图像处理与机器视觉:Visual C++与Matlab实现》6 支持向量机,综合案例——基于PCA和SVM的人脸识别系统-" Digital image processing and machine vision: Visual C++ and Matlab to achieve" 6 support vector machines, comprehensive case- based on PCA and SVM for Face Recognition Syste
PCA_LDA_Face_Verification
- PCA+LDA人脸识别，识别率高于单独PCA或LDA算法。需要matlab dimension reducation toolbox。-Face verification using PCA and LDA fusion. Better performance than single PCA or LDA algorithm. The image database is included. Matlab dimension reduction toolbox is requrired.
PCA
- 应用matlab对多通道遥感影像进行主成分变换，就出含有最大信息量的主成分-Application of PCA matlab multi-channel remote sensing image, containing the principal component of the maximum amount of information
PCA-matlab
- 几个基于pca的matlab程序。使用时直接输入图片就可以了-Based on several pca matlab program. When using direct input image can be
PCA-face-recognition
- 提取人脸图像pca降维特征以实现人脸识别，采用MATLAB语言实现实现-Extracting features of face image PCA to realize face recognition, using MATLAB language
Gabor
- 此程序可以实现gabor滤波。实现对图像的纹理特征的提取，对汉字势必有较好的效果(This procedure can achieve Gabor filtering. To achieve the extraction of image texture features, Chinese characters are bound to have better results)
PCA
- 非常经典的特征提取算法，经常用来做降维方法，但是也可以直接用来做特征提取，很适合图像处理入门，在人脸识别也经常用到(Very classic feature extraction algorithm, often used to do dimensionality reduction methods, but can also be used directly to do feature extraction, it is suitable for image processing, in fa
PCA
- 对高维图像进行PCA和KNN分类器处理转换为低维图像(use PCA and KNN for high dimensional image)
多光谱影像PCA与遍历显示matlab实现
- 基于多光谱影像的地物分类预处理算法，使用matlab将数据tif影像打开，并展示，在数据波段中，使用PCA算法，使得信息集中利于分类。(Preprocessing algorithm of object classification based on multi spectral image)
人脸识别 MATLAB代码
- 使用pca方法对图像进行特征提取，对训练集的20个人的共一百张人脸进行训练，使用adaboost算法生成强分类器，可以对测试集的人脸图片进行识别，且识别率较高(The PCA method is used to extract the features of the image, and the training is carried out for a total of 100 faces of 20 people in the training set. The AdaBoost algor