图象的几何变换 打开一幅位图，实现几何变换 命令行编译过程如下 vcvars32 rc bmp.rc cl geotrans.c bm...

在OpenCV的cvaux有高斯混合模型函数，其中定义了CvGaussBGModel类用于存放高斯混合模型的各个参数。在编写代码前需要对cvbgfg_gaussmix.cpp和cvaux.h这两个文件做些修改-OpenCV has cvaux in the Gaussian mixture model function, which defines the category CvGaussBGModel Gaussian mixture model used to store various parameters. In the preparation of the code before the need for cvbgfg_gaussmix.cpp and cvaux.h revise the two documents do

VB将图像拖动到任意打开的窗口上，比较有意思，你只需拖动窗体中的小箭头到任意目标窗体，松开鼠标后图像就跑到目标窗体上了，不过程序还需要完善，有时候图片会被遮挡住，只实现了基本的思路，不是太常用，就当是一个学习资料吧。-VB drag the image to any open window, the more interesting, you just drag the form of small arrows to any objective form, release the mouse after the picture ran on the target form, but the program also need to perfect, and sometimes images will be blocked to live, only to achieve the basic ideas, not too common, it is a learning information when the bar.

代码是基于MFC框架设计的，实现了对BMP、PCX、TGA、JPEG、GIF图像格式的图片进行读、写、显示等基本功能和各种图片格式的转换功能以及一些变换算法，实现了图像的放大、缩小、旋转及百叶窗、马赛克等显示特效-Code is based on the MFC framework designed to achieve a BMP, PCX, TGA, JPEG, GIF image format, picture reading, writing, show the basic features and various picture format conversion as well as some transform algorithm, the realization of the image enlarge, narrow, rotating and shutters, mosaic effects, such as display

信息压缩中一种常见的编码---霍夫曼编码的源程序代码-Information Compression in a common coding- Huffman coding of the source code

对图像进行垂直镜像处理的源代码，在VC++6.0环境下编译通过。-right vertical mirror images of the source code, the VC 6.0 compiler through the environment.

有关人脸检测的程序，对于给定的图像进行自动人脸检测，挺好用的。-The face detection procedure for a given facial image auto-detection, quite good use.

运用迭代算法求取图像域值，进行图像分割，再利用形态学进行边缘提取-Iterative algorithm to use to strike the image domain value for image segmentation, and then carried out using morphological edge detection

hough变换中，进行了hough变换，峰值检测，找非零点，找到相关像素后，还要执行这个操作，才能实现功能-hough transform for the hough transform, peak detection, to find non-zero, after finding the relevant pixel, but also the implementation of this operation, to achieve functional

数字图象处理目前应用极其广泛，可以处理日常生活中的各种问题，这里给出车辆识别vc源程序-Digital image processing is currently an extremely wide range of applications and can handle various aspects of daily life, here given vehicle identification vc source code

轮廓提取,本设计通过边缘算法,达到高效低损失的计算效果,有效的消除轮廓边缘的噪音影响.-Contour extraction, through the edge of the design algorithm, to achieve high efficiency and low loss calculation results, effectively eliminate the impact of the noise contour edge.