搜索资源列表
2DPCA
- 2DPCA 主成分分析法，处理图像压缩，特征提取的m代码-2DPCA principal component analysis, image compression processing, feature extraction of m code
PCA
- 主成分分析，可以用来做人脸识别的程序，方便，快捷-Principal component analysis, face recognition can be used to do the procedure, convenient and fast
TwainLib
- 这个类主要用户驱动扫描仪完成扫描功能。谢谢大家的支持-The principal user-driven scanner to complete the scan function. Thank you for your support
pca
- 主成分分析ppt。对做图像分析以及融合很有帮助。从别处转来的。希望有用。-Principal component analysis ppt. Right to do image analysis and fusion helpful. Have been transferred there. Want to be useful.
ICA
- ica 独立主成分分析 包括中心化和白化等预处理-ica independent principal component analysis, including the center and bleaching pretreatment
image-compression-with-PCA
- 对400幅灰度图像用分块PCA的方法进行压缩，进行通信时只用传输主元和特征向量。其中，pcaxiefangcha.m用于图像压缩，imresume.m用于图像恢复和部分图像的显示，chaweight.m用于绘制特征值比重-主元个数关系图，crdraw.m用于绘制压缩比-主元个数关系图，psnrdraw.m用于绘制总误差PSNR-主元个数关系图，psnrlocation.m用于绘制单幅图像误差PSNR分布图。-On the 400 block with a gray image compressi
pca_c++
- 一个关于主成分分析的程序，对初学者有帮助。-A principal component analysis on the procedure, help for beginners.
pca
- PCA主成分分析的标准MATLAB程序,可通用,非常有效-PCA principal component analysis of the standard MATLAB procedures, can be universal, very effective
Subpattern-based_principal___component_analysis.zi
- 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
neatestface
- 人脸识别matlab程序，pca主成分分析法，采用最小距离决策-Face recognition matlab program, pca principal component analysis method, using a minimum distance between the decision-making
pca
- pca: The enclosed function PCA implements what is probably the method of choice for computing principal component analyses fairly efficiently, while guaranteeing nearly optimal accuracy. The enclosed function DIFFSNORM provides an efficient, reliable
cadzuobiaozhengfanyunsuan
- CAD坐标提取与坐标正反算2008 主要实现了坐标的正反算-CAD coordinates with the coordinates extracted positive and negative balance in 2008 realized the coordinates of the principal balance of positive and negative
PCA4Images
- 基于Matlab的系列图像处理和显示结果程序，采用主成分分析算法，假定载入系列图像数据后可直接运行得到结果。-Matlab based on a series of image processing and display the results of the procedure, using principal component analysis algorithm, it is assumed that loading series of image data can be directl
ImageFlash
- 一个很简洁的ImageFlash 主要是方便在网站上浏览-ImageFlash a very simple principal is to facilitate the site visit
GSM_fundamental_principal
- GSM基本原理介绍，主要讲GSM系统架构、接口、信令流程、信道管理等等。很不错培训资料-The basic principles of GSM, the main speaker GSM system architecture, interfaces, signaling processes, channel management. Very good training materials
Researchontheshapefeatureextractionandrecognition.
- 主分量分析(PCA ) 是统计学中分析数据的一种有效的方法, 可以将数据从高维数据空间变换到低维特征空间, 因而 可以用于数据的特征提取及压缩等方面。在该文的形状识别系统中, 用PCA 法提取图像的形状特征, 能够较好地满足识别 层的输入要求。在识别层研究了3 种识别方法: 最近邻法则、BP 网络及协同神经网络方法, 均取得了满意的实验效果。-Principal component analysis (PCA) is a statistical analysis of data in a
huffman_file_compress
- 使用霍夫曼huffman 編碼方式 對文件進行壓縮 程序很簡單 主要是幫助新人了解霍夫曼編碼的實現方法-The use of Huffman huffman encoding file compression program is very simple principal is to help newcomers understand the Hoffman encoding method
pca_matlab
- 上传的附件为pca主成分分析算法matlab源码-From the Annex for the PCA principal component analysis algorithm matlab source
ada04
- 详细介绍PCA（主成分分析），应用于人脸识别。PCA概念，发展，关键技术-Details on PCA (Principal Component Analysis), applied to face recognition. PCA concept, development, and key technologies
gabordetector
- 二維圖像處理對圖像以gabor方式提取特徵點的程序-Two-dimensional image processing of images to extract feature points the way gabor procedures