CWIMATIFUS

VisualC++数字图像处理技术详解第2版光盘，第十二章(VisualC++ digital image processing technology Detailed Version 2 discs, Chapter XII)

基于图像灰度共生矩阵的特征提取代码，程序实现0 45 90 135度4个方向的特征提取(GLCM based on image feature extraction code, the program achieved 04,590,135 degrees in four directions of the feature extraction)

matlab书上第六章数值运算的几个样例习题。。。。。(the descirbtion of the matlab)

图像孔洞/裂缝的填充算法。根据图像的同态性，采用最邻近插值的思想。(Image holes/cracks in the fill algorithm. According to the image of the same state, using the nearest interpolation ideas.)

基于matlab的JPEG编解码程序。里面有2个程序，一个是程序是编解码过程，一个纯编码过程。含解释。(Program based on Matlab JPEG codec. There are two programs, one program is the process of encoding and decoding, a pure coding process. Containing explained.)

基于小波的去噪算法，采用BAYES原理选取阈值，源代码，参考文献：Adaptive Wavelet Thresholding for Image Denoising and Compression(Wavelet-based denoising algorithm using the principle to select threshold BAYES, source code references: Adaptive Wavelet Thresholding for Image Denoisingand Compression)

基于脆弱性的水印嵌入算法，包括水印嵌入，水印攻击等(Based on the vulnerability of the watermark embedding algorithm, including watermark embedding, watermark attacks and so on)

calibration摄像机镜头的校正程序(calibration Calibration camera lens calibration procedure)

说明：  pso粒子群优化算法参数设置，是工具箱中结合部分的核心。(PSO PSO algorithm parameter settings, Toolbox is part of the integration of the core.)

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 ) )