该工程项目实现了AR算法，提供签名在线鉴别功能

多种图像边缘检测与分割处理 是M文件 程序代码说明 P0401：用Prewitt算子检测图像的边缘 P0402：用不同σ值的LoG算子检测图像的边缘 P0403：用Canny算子检测图像的边缘 P0404：图像的阈值分割 P0405：用水线阈值法分割图像 P0406：对矩阵进行四叉树分解 P0407：将图像分为文字和非文字的两个类别 P0408：形态学梯度检测二值图像的边缘 P0409：形态学实例――从PCB图像中删除所有电流线，仅保留芯片对象-A variety of image edge detection and segmentation is the deal with M files code Description P0401: detection using Prewitt operator Edge P0402: different σ value Log Operators image edge detection P0403: using Canny edge detection image edge P0404: Image Thresholding P0405: water line thresholding image segmentation P0406: for the matrix quadtree decomposition P0407: the image is divided into text and non-text for these two types of P0408: morphological gradient detected binary image of the edge of P0409: Morphological examples- from PCB image delete all current lines, retaining only the target chip

Directshow中Video Mixer Render9的使用，很好的代码，具有很好的参考价值-Directshow China Video Mixer Render9 use, good code is a good reference value

人脸的检测与定位源码，包含全部工程信息，绝对能编译-Face detection and location of the source, including all engineering information, the absolute can be compiled

该软件功能很好，请大家下下来可以直接进行实用，是一个比较小的应用软件-The software features a very good, let us down under can be directly useful, is a relatively small application software

可以将DICOM格式的医学图像文件转换为bmp文件，以便于进一步处理。-Can be DICOM format medical image files converted to bmp files, in order to facilitate further processing.

一些快速纹理映射的例子- Some fast texture mappings examples

几种经典的图像平滑去噪算法程序，其中包括小波软阈值和硬阈值处理。还附送三个图像质量评价程序-several classic image denoising smoothing algorithm procedures, which include thresholding wavelet soft and hard threshold processing. Also attached three image quality evaluation procedures

hough 圆检测的放大，文章利用两步法进行圆检测，同时也提高了速度-hough circle detection based tow step detection

视频运动检测的例子和源代码，可以在图像处理和运动目标检测中应用-Video Motion Detection examples and source code, the image processing and moving target detection application

基于c++的，运用opencv开发包的高斯混合模型，用于视频中运动物体的检测-Based on c++ And use the development package opencv Gaussian mixture model for moving objects in video detection