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[Special Effects] fusion-pca

Description: 用PCA的方法，对两幅聚焦不同的图像进行融合处理，从而获得清晰图像。-using PCA, focusing on two different images for integration, thereby get a clear image.
Platform: | Size: 529065 | Author: 丽仙 | Hits:

[Graph program] 联机数字、英文字符及汉字识别

Description:

3D model search engine  
A HYBRID METHOD FOR IMAGE PARTITION  
一种基于视觉嫡的图像分割压缩方法  
一种感兴趣区图像压缩编码算法  
用于植物病害图像认证的小波域半脆弱水  
一种基于彩色图像绿色分量的数字水印嵌  
嵌入式图像压缩编码的研究  
基于径向小波变换的图像特征提取算法


Platform: | Size: 109456 | Author: bxf2008ynu@163.com | Hits:

[Multimedia Develop] Capcam2

Description: 捕获摄像头图像，封装了类CCaptureVideo，可以直接调用该类进行捕获。-cameras capture images of the Packaging category CCaptureVideo. can directly call for such catches.
Platform: | Size: 35840 | Author: cxingpeng | Hits:

[Mathimatics-Numerical algorithms] rtejfgds

Description: 现有的代数特征的抽取方法绝大多数采用一维的方法，即首先将图像转换为一维向量，再用主分量分析（PCA）,Fisher线性鉴别分析（LDA）,Fisherfaces式核主分量分析（KPCA）等方法抽取特征，然后用适合的分类器分类。针对一维方法维数过高，计算量大，协方差矩阵常常是奇异矩阵等不足，提出了二维的图像特征抽取方法，计算量小，协方差矩阵一般是可逆的，且识别率较高。-existing algebra feature extraction method using a majority of the peacekeepers, First images will be converted into one-dimensional vector, and then principal component analysis (PCA), Fisher Linear Discriminant Analysis (LDA), Fisherfaces audits principal component analysis (KPCA), and other selected characteristics, then use the appropriate classification for classification. Victoria against an excessive dimension method, calculation, covariance matrix is often inadequate singular matrix, a two-dimensional image feature extraction method, a small amount of covariance matrix is usually reversible, and the recognition rate higher.
Platform: | Size: 2048 | Author: 小弟 | Hits:

[Special Effects] kl

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.
Platform: | Size: 64512 | Author: ly | Hits:

[Graph Recognize] SpPCA

Description: 利用Sub-pattern PCA在Yale人脸库上进行人脸识别的matlab源代码，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-pattern PCA use in the Yale face database for face recognition on the matlab source code, sub-mode principal component analysis first of the original image block, and then the same sub-image, respectively, the location of the establishment of sub-image set, in each sub-image Set the use of PCA to extract the features, the establishment of sub-space. Treatment to identify images, by the same block, the respective sub-image to the corresponding sub-space projection, feature extraction. Finally, according to the principle of nearest neighbor classification.
Platform: | Size: 2048 | Author: 章格 | Hits:

[GDI-Bitmap] imageshow

Description: 用于图像处理的图形用户界面，可实现图像的翻转、加噪、边缘提取等功能。-For image processing graphical user interface, can be flipped images, noise, edge detection and other functions.
Platform: | Size: 5120 | Author: Roger King | Hits:

[Special Effects] pca

Description: 此程序用来对单波段图像或者多波段图像进行主成分分析，可以对主成分个数进行手动设置-This procedure used for single-band image or multi-band images, principal component analysis, the number of principal components can be manually set
Platform: | Size: 1024 | Author: 朱阳阳 | Hits:

[Multimedia Develop] EigenFace

Description: This is a MFC program to test Principle Component Analysis (PCA) for constructing Eigenfaces. Using train images, it calculates Eigen values and Eigen vectors with sorting. Then reconstruct test images from PCA coefficients.
Platform: | Size: 5613568 | Author: SUNGWOONG KIM | Hits:

[Windows Develop] PCA

Description: This program carries out PCA analysis on a set of 6 bitmap images. The images contain objects against blank backgrounds. The eigenvalues and eigenvectors for the set of images are calculated and based on these decomposition coefficients are calculated for each image.
Platform: | Size: 3072 | Author: Han | Hits:

[Industry research] MoAT7.1

Description: This paper identifies a novel feature space to address the problem of human face recognition from still images. This based on the PCA space of the features extracted by a new multiresolution analysis tool called Fast Discrete Curvelet Transform. Curvelet Transform has better directional and edge representation abilities than widely used wavelet transform. Inspired by these attractive attributes of curvelets, we introduce the idea of decomposing images into its curvelet subbands and applying PCA (Principal Component Analysis) on the selected subbands in order to create a representative feature set. Experiments have been designed for both single and multiple training images per subject. A comparative study with wavelet-based and traditional PCA techniques is also presented. High accuracy rate achieved by the proposed method for two well-known databases indicates the potential of this curvelet based feature extraction method.-This paper identifies a novel feature space to address the problem of human face recognition from still images. This is based on the PCA space of the features extracted by a new multiresolution analysis tool called Fast Discrete Curvelet Transform. Curvelet Transform has better directional and edge representation abilities than widely used wavelet transform. Inspired by these attractive attributes of curvelets, we introduce the idea of decomposing images into its curvelet subbands and applying PCA (Principal Component Analysis) on the selected subbands in order to create a representative feature set. Experiments have been designed for both single and multiple training images per subject. A comparative study with wavelet-based and traditional PCA techniques is also presented. High accuracy rate achieved by the proposed method for two well-known databases indicates the potential of this curvelet based feature extraction method.
Platform: | Size: 432128 | Author: Swati | Hits:

[matlab] 1

Description: Amir Hossein Omidvarnia用matlab编写的基于PCA的人脸识别系统和基于FLD的人脸识别系统,其中 的图像示例为Essex face database中 face94 的部分图像,文献可参考"Eigenfaces vs. Fisherfaces: Recognition using class specific linear projection."已经测试过程序可正常运行没有问题。-Amir Hossein Omidvarnia prepared using matlab Face Recognition System Based on PCA and FLD-based face recognition systems, which sample the image of Essex face database for ' face94' part of images, documents may refer to " Eigenfaces vs. Fisherfaces: Recognition using class specific linear projection. " procedures have been tested there is no problem to normal operation.
Platform: | Size: 377856 | Author: 刘子木 | Hits:

[Graph Recognize] kpca

Description: 使用核PcA来识别图片，图片为200张测试图片，200张训练图片，包含在在压缩文件中。-To identify the use of nuclear PcA picture, pictures, for 200 test images, 200 training images, is included in the compressed file.
Platform: | Size: 3163136 | Author: 戴步成 | Hits:

[Special Effects] pca

Description: pca进行人脸识别，首先对人脸图象进行训练，得到投影矩阵，然后再进行人脸识别-pca for face recognition, the first human face images for training, to be the projection matrix, and then to face recognition
Platform: | Size: 357376 | Author: zhangjin | Hits:

[matlab] Eigenfaces

Description: Eigenfaces tests for grayscale images using PCA and SVD
Platform: | Size: 1522688 | Author: Dwra | Hits:

[matlab] PCA-Code

Description: It is used for preprocessing of images
Platform: | Size: 2912256 | Author: rekha | Hits:

[Special Effects] PCA融合

Description: 对于两幅图像进行PCA融合，对高分辨率的灰度图像和低分辨率的彩色图像进行融合(For the two images of PCA fusion, the high resolution gray image and low resolution color image fusion)
Platform: | Size: 29696 | Author: *修远* | Hits:

[OpenCV] pca

Description: 在许多领域的研究与应用中，往往需要对反映事物的多个变量进行大量的观测，收集大量数据以便进行分析寻找规律。多变量大样本无疑会为研究和应用提供了丰富的信息，但也在一定程度上增加了数据采集的工作量，更重要的是在多数情况下，许多变量之间可能存在相关性，从而增加了问题分析的复杂性，同时对分析带来不便。如果分别对每个指标进行分析，分析往往是孤立的，而不是综合的。盲目减少指标会损失很多信息，容易产生错误的结论。 因此需要找到一个合理的方法，在减少需要分析的指标同时，尽量减少原指标包含信息的损失，以达到对所收集数据进行全面分析的目的。由于各变量间存在一定的相关关系，因此有可能用较少的综合指标分别综合存在于各变量中的各类信息。主成分分析与因子分析就属于这类降维的方法。(* pca.cpp This program demonstrates how to use OpenCV PCA with a specified amount of variance to retain. The effect is illustrated further by using a trackbar to change the value for retained varaince. The program takes as input a text file with each line begin the full path to an image. PCA will be performed on this list of images. The author recommends using the first 15 faces of the AT&T face data set: http://www.cl.cam.ac.uk/research/dtg/attarchive/facedatabase.html)
Platform: | Size: 2048 | Author: Steven Cham | Hits:

[Other] PCA

Description: 用matlab自带的PCA算法对图像进行降维(Dimensionality reduction for images)
Platform: | Size: 13312 | Author: lanluofei | Hits:

[Special Effects] PCA-K

Description: 该算法主要包含PCA算法和K-Means聚类算法，用于SAR变化检测,包含数据图片。(The algorithm mainly includes PCA algorithm and K-means clustering algorithm for SAR change detection, including data images.)
Platform: | Size: 240640 | Author: 墨辞 | Hits:
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