This is a realization of discrete cosine transform procedures, including ordinar...

学习mfc的好资料，对学习mfc很有帮助，能够很容易查询要点疑难-Learning mfc good information on the study mfc helpful can easily check points Difficult

canny边缘提取算法的VC6++与matlab7的混合编程的algorithm实现-canny edge detection algorithm VC6++ with mixed matlab7 realize programming algorithm

别人的东西，有关KPCA特征提取的，看过了，很好很强大-Other people" s things, the KPCA feature extraction, and seen, very good very strong

matlab写的一个经典的用于计算光流的工具箱。-Matlab write a classic optical flow used in the calculation of the toolbox.

VB6.0下用Access数据库对图像进行保存、显示的源程序代码！-VB6.0 using Access database to save the image to show the source code!

在VC6.0中的一些基本操作,常常用来进行简单的学习和常规的练习 -in VC6.0 of some of the basic operations, often used for the study and simple conventional exercise

模糊自适应的开发程序，对于模糊自适应的解说非常详细，对初学者有一定帮助-Fuzzy adaptive development process, fuzzy adaptive explanation for the very detailed, certainly be of help for beginners

摄影测量学，图像处理定位，测量方面的经典著作，武汉大学的ppt-Photogrammetry, image processing, targeting, measurement of the classics, Wuhan University, ppt

（1）应用9×9的窗口对上述图象进行随机抽样，共抽样200块子图象； （2）将所有子图象按列相接变成一个81维的行向量； （3）对所有200个行向量进行KL变换，求出其对应的协方差矩阵的特征向量和特征值，按降序排列特征值以及所对应的特征向量； （4）选择前40个最大特征值所对应的特征向量作为主元，将原图象块向这40个特征向量上投影，所获得的投影系数就是这个子块的特征向量。 （5）求出所有子块的特征向量。 -(1) the application of 9 × 9 window of these images at random, a total sample of 200 sub-image (2) all sub-images according to out-phase into a 81-dimensional row vector (3) all 200 lines for KL transform vector, derived its corresponding covariance matrix of eigenvectors and eigenvalues, in descending order by eigenvalue and the corresponding eigenvector (4) a choice to 40 corresponding to the largest eigenvalue eigenvector as the PCA, the original image block to the 40 feature vectors on the projection, the projection coefficients obtained by this sub-block eigenvector. (5) calculated for all sub-block eigenvector.

粒子滤波器是基于序贯Monte Carlo仿真方法的非线性滤波算法,可以解决所以线性，非线性问题。-Particle Filter is based on sequential Monte Carlo simulation method of nonlinear filtering algorithms, can be solved so linear, nonlinear problems.