getcircle

对遥感图像进行无监督分类，形成决策树，实现地物的标定(Unsupervised classification of remote sensing images to form a decision tree, the calibration of surface features)

一个改进的卡尔曼滤波器 用来进行运动目标的跟踪 (An improved Kalman filter used for tracking moving targets)

说明：  图像颜色显著性，包含颜色直方图和颜色矩，是颜色显著性评价的重要内容(Image Color Salience)

本程序利用SIFT算法实现影像匹配的基础上，实现全景图的拼接，实用性很强，大家可以把拍摄的相邻的几张有重叠度的照片拼接成一张全景图。(The program uses SIFT image matching algorithm based on the realization of panorama stitching, very practical, we can put a few have taken the overlap of adjacent photos into a panoramic mosaic map.)

说明：  pca-svm的人脸识别，利用pca进行人脸特征提取，再利用svm进行聚类分析(Face recognition based on PCA SVM)

说明：  一些相位迭代算法，还挺有用的，可以直接拿过来使用(iterative phase retrieval algorithms)

这是一个MATLAB工具箱包括32个降维程序，主要包括 pca,lda,MDS等十几个程序包，对于图像处理非常具有参考价值！！( ，This Matlab toolbox implements 32 techniques for dimensionality reduction. These techniques are all available through the COMPUTE_MAPPING function or trhough the GUI. The following techniques are available: - Principal Component Analysis ( PCA ) - Linear Discriminant Analysis ( LDA ) - Multidimensional scaling ( MDS ) - Probabilistic PCA ( ProbPCA ) - Factor analysis ( FactorAnalysis ) - Sammon mapping ( Sammon ) - Isomap ( Isomap ) - Landmark Isomap ( LandmarkIsomap ) - Locally Linear Embedding ( LLE ) - Laplacian Eigenmaps ( Laplacian ) - Hessian LLE ( HessianLLE ) - Local Tangent Space Alignment ( LTSA ) - Diffusion maps ( DiffusionMaps ) - Kernel PCA ( KernelPCA ) - Generalized Discriminant Analysis ( KernelLDA ) )

基于稀疏表示的目标跟踪,对于稀疏表示应用于图像处理的同志可是一个借鉴。(Robust Object Tracking via Sparsity-based Collaborative Model)

对图像实现分块操作 很实用的程序(Realize the image sub-block operation is very useful procedure)

卡尔曼滤波源代码 Some brief notes ---------------- kfdemo.m is a Matlab script file to run a demonstration of the Bayesian Kalman filter. It loads file kfdemo.mat (saved as version 4 so that it will read in either v4 or v5 Matlab). The other files are called by kf.m (the Kalman filter) or included as they may be useful. Normalis.m normalises data to zero-mean, unit variance along components. I always do this before any further analysis. Steve Roberts 7-2-98 (Kalman filter source code Some brief notes kfdemo.m is a Matlab script file to run a demonstration of theBayesian Kalman filter. It loads file kfdemo.mat (saved as version 4so that it will read in either v4 or v5 Matlab). The other files are called by kf.m (the Kalman filter) or includedas they may be useful. Normalis.m normalises data to zero-mean, unit variance along components. I always do this before any furtheranalysis.Steve Roberts 7-2-98)