精通visual c++图像编程的 代码 。 我用VS2005编译，有几个地方有错，请自己改正...

背景差分法（Frame difference）这种方法是基于前景和背景的不同场景，根据视频采集的背景信息获取更稳定的可信信息，计算前景中固定的背景像素差分，从而实现基于Su（pixel-based）和高端basic的融合区域（基于区域的）信息

最新的图像融合算法，在Visual C++的环境中实现的，运行很快的-The latest image fusion algorithms, in the Visual C++ Realize the environment, and running quickly

texture transfer example

根据：一种可识别破碎图形的特殊广义Hough变换方法 论文，在matlab上做的实验源码，有模版生成，广义哈夫变换代码-In accordance with: A broken identifiable graphics special generalized Hough transform methods papers, in matlab to do experiments on the source, there are template generation, generalized Hough transform code

利用Wiener滤波算子实现的图像滤波和复原，VC实现。-use Wiener filtering operator realization of the image filtering and recovery, VC.

霍夫变换可以进行边值提取功能，在数字图像处理上功能强大-hough

背景消除方法：利用多维高斯混合模型，建立背景模型。虽然速度慢了点，但是方法很好，希望能给大家一点帮助:)

叠加椒盐噪声后进行二阶巴特沃斯(Butterworth)低通滤波,最后显示处理结果. 直接解压后将图片和程序放在同一个文件夹里.-after second-order Butterworth (Butterworth) low-pass filtering, Final results showed. Photo will be directly extracted and procedures on the same document folder.

vc图像处理比较全面的程序，提供了图象直方图均衡，robert,sobel,prewitt,kirsch,gauss等方法的边缘检测运算，中值滤波，二维FFT变换和DCT变换，图象的反转，旋转等一些基本的图象模板变换和点变换的功能。目前只处理256*256的图象-vc images deal with more comprehensive procedures, provided the image histogram equalization, robert, sobel, prewitt, kirsch, gauss and other methods of edge detection operator, median filtering, two-dimensional FFT transform and DCT transform, image reversal, rotating images, such as some basic templates and point transform transform function. Currently only deal with 256* 256 image