A digital image processing tool. Its major function is descreening for scanned h...

一个图像查看程序的例子，用 Visual Studio 2005 开发，使用的是 Visual Studio 2005 自带的 BMP 类，可以进行格式转换。-An image to view examples of the procedure, using Visual Studio 2005 development, using Visual Studio 2005 built-in BMP category, format conversion can be carried out.

基于OpenCV的图像匹配程序，可达到亚象素，对图像匹配有很大的帮助！-OpenCV-based image matching procedure, can achieve sub-pixel of the image matching has a great help!

强大，真强，数学建模中系统标定的一大堆M源码，好用-Strong, really strong, and mathematical modeling in the system calibration of a lot of M-source, easy to use

计算几何算法的C语言实现，还不错， 不过有些难度，感兴趣的朋友可以看看。-computational geometry algorithm C language, quite good, but some are more difficult, interested friends can see.

实现了地形图像等的四叉树分层，根据图像的梯度和稠密分布进行分层处理。-Realized images of the terrain quadtree hierarchical, according to the image gradient and the dense distribution of slicing.

这个程序的功能实现了，将一幅彩色图像先变为灰度图像，然后在统计它的直方图，接着给变换后的图像输入目标，做剪影，最终把剪影后的结果输出-Function realization of this program, and will be a color image into a grayscale image first, and then its histogram statistics, and then after the image input to the transformation goals, to do silhouette, the final result after the output of the silhouette

本压缩包包含了计算机图像学中的图像平移等一些操作，而且包含了数字图像处理中的傅立叶，离散余弦等等一些算法，解释非常详细-The compressed packet contains a computer image of the school, such as image translation operation, and includes a digital image processing in the Fourier, discrete cosine and so on some algorithm, explained in great detail

混合高斯模型建模，对视频中背景进行混合高斯建模，在摄像机不动的环境中应用广泛-Gaussian Mixture Modeling of video Gaussian mixture background modeling, at the fixed cameras are widely used environment

基于kmeans的图像分割算法，首先得到图像，再确定分类，并计算各分类的均值，从而得到各个像素的分类。-Kmeans-based image segmentation algorithm, first of all get the image, and then determine the classification, and calculate the various categories mean, and thus obtain the classification of each pixel.

人眼跟中的源码，用VC实现，是人脸识别中试验很好的方法-The human eye with the source, using VC to achieve is a very good face recognition test methods