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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 ) )

一种基于稀疏表示的图像融合方法，基于论文《Information Fusion》论文Joint patch clustering-based dictionary learning for multimodal image fusion 进行编写 结果相似(A sparse based image fusion method. It is based on paper Joint patch clustering-based dictionary learning for multimodal image fusion of Information Fusion The results is almost the same to this paper)

说明：  基于距离变换的分水岭分割算法，该算法可以实现对粘连物体的分割。(Watershed algorithm)

说明：  分析音频，分割进行傅里叶变换，得出声谱图(Analyze the audio and get the spectrogram)

C#模拟播放连续的图片为GIF动画，模拟出播放GIF的动画效果，在Debug/bin目录下，有很多的图像文件，有VS的可重新修改源码，适合学习，源码简单。(C# analog playback consecutive pictures as an animated GIF, animated GIF to simulate the effect of playing in Debug/bin directory, there are a lot of image files, there VS can re-edit the source code, suitable for learning, simple source.)

knn分类器，是数字图像处理与处理中经常使用到的一种分类方法！(KNN Classifier is the digital image processing and handling are often used as a classification method!)

图像处理中常用的的标准图像，已经分类，包括PNG、BMP、TIFF、JPG等，未进行二次处理(The image processing used in the standard image has been classified, including PNG, BMP, TIFF, JPG, not second)

这个算法包实现了从多幅拥有共同结构的图像里提取出共同形状的骨架。( This package implements the algorithm for Sketching the Common as described in: Shai Bagon, Or Brostovsky, Meirav Galun and Michal Irani "Detecting and Sketching the Common", CVPR 2010)

基于贝叶斯最小错误率算法的崇明岛遥感图像分类程序。并且有饼状图显示各类地物比例(Minimum error rate based on Bayesian algorithm for Chongming Island, the remote sensing image classification procedures. And the pie chart below shows the proportion of various types of features)

该代码为图像增强代码。用于光学或SAR图像增强。具有较好的效果。(The code for image enhancement Used for optical or SAR image enhancement has a good effect )