背景差分法和时间的运动目标检测

这个对图像进行线性变换的程序，来自于VC++数字图像处理典型算法及其实现这本书，对于学习位图处理的人来说是很好的资源。-useful for all people

matlab做的标定程序，包括角点检测与张正友标定算法做的，有界面-matlab to do the calibration interface, including the corner detection algorithm and Zhang Zheng-you do calibration

彩色图像分类程序，包括R,G,B分类，HSV分类，完全自己开发，带GUI-color image classification procedures, including R, G, B classification, HSV classification, completely on my own development, with GUI

VB版bmp2ico，可以将bmp图片转换成VB等可用图标。-VB version bmp2ico, can converte bmp picture into icon which can be used in VB,etc.

边缘检测源代码，适用于图像处理初学者，以及，VC++ 初学者 -Edge detection source code, applied to image processing for beginners, as well as, VC++ Beginners

使用vc编写的一个光流原程序 使用了hs算法 没有解压密码-vc prepared by the use of an optical flow original procedures used hs not extract password algorithm

图像几何变换，图像平移，图像镜像，图像缩放-Image geometric transform, image translation, image mirroring, image scaling

（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.

该matlab程序主要对图像灰度变换、均衡化等基本算子进行实现-The matlab program mainly to the image gray-scale transformation, equalization, and other basic operators to achieve the

fillter remove noise use IRQ (interquartile range)