Wienerfilter1

基于VC++的图像处理类，可以用于bmp文件的读写，显示(Based on the image processing VC++ classes that can be used to read and write bmp files, display)

基于MATLAB的车牌识别系统的源代码(可以实现)(The source code of the license plate recognition system based on MATLAB (can be realized))

matlab程序，图像应用处理，可实现散焦模糊篡改图像的定位和分离，实现模糊图像真实性的检测(matlab program, image processing applications can be realized defocus blurred image tampering localization and separation, to achieve authenticity blurred image detection)

分水岭算法的实现,用VC++语言实现，构成可靠的算法实现(the implement of the watershed)

CT图像的平行束重建图像的重建算法，非常高(CT image parallel beam reconstruction image reconstruction algorithm, very high)

基于spline的图像感兴趣区域提取，可用于基于区域的图像检索系统中。(spline- based region of interest image extraction, can be used for regional image retrieval system.)

光流运动中经典的LUCAS-CANADE-TOMASI算法。内中有附说明和图片。(optical flow movement classical Lucas-CANADE- TOMASI algorithm. With a description and photo attached.)

说明：  对二维图像进行分形维数的计算，采用差分盒维数进行计算，并且进行了拟合误差的计算(The fractal dimension of two-dimensional image is calculated by using the differential box dimension, and the fitting error is calculated)

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 ) )

基于模型匹配的永磁同步电机混沌化控制例子，是本人一点点做出来的。(this is a example for Chaos Anti-Control of Permanent Magnet Synchronous Motor Based on Asymptotic Model Matching. it was completed by myself.)