比较适合做图形匹配的初学者学习，可以对图像匹配的方法有一个比较好的总体理解，方便入门...

opencv 使用卡尔曼滤波器跟踪一个旋转的点-opencv using the Kalman filter to track a rotating point

PCA 主成份分析法 用于人脸识别中的图像处理方法-PCA face recognation

OpenCV进行皮肤检测.用了阈值法和贝叶斯方法.其中皮肤标记是用鼠标来完成的.自己还是比较满意的,愿与大家分享.-OpenCV for skin detection. Using the threshold method and Bayesian methods. Where the skin tag is to use the mouse to complete. I am still satisfied, and would like to share with you.

可以对图象的纹理进行分析，包括图象的能量，熵，惯性矩，局部平稳性等-On an analysis of texture images, including images of energy, entropy, moment of inertia, partial stationarity, etc.

在图像处理中，主要用于图像的二值化处理。-In image processing, mainly for image binarization.

游戏开发中的辅助工具，非常有用，可以大量减轻美工处理图片的工作量 1，生成字体图片文件 2，图片切分，把大的精灵图片切分成小的图片 3，图片剪切，可以批量对于某个目录的所有图片进行上下左右的剪切处理-Game development tool, very useful, you can handle a large number of art to alleviate the workload of one picture to generate the font image file 2, image segmentation, the big picture wizard cut into small picture 3, picture cut, you can bulk for a directory of all the pictures up and down around the shear treatment

这是有关数字图像处理的几篇论文，涉及到Matlab 和Labview，学习图像的同学可以参考一下。-It is about digital image processing of several papers related to Matlab and Labview, students study the image for reference.

一、本程序是《C/C++图像处理编程》出版一年多来修改、改进的结果。 程序有所修改，内容也有很大的增加。 二、书中演示程序的内容与DosImage程序相一致。DosImageN程序有较多 修改，有改正错误的，有提高性能的，难以一一列出。 -First, the procedure is

如何进行MPEG4格式的解码的C程序源代码-How to decode MPEG4 format C source code

30个图像处理的VC++ 源代码，包括256色转灰度图,Hough变换,image_j1,PCA,Walsh变换,对比度拉伸,二值化变换,反色, 方块编码,傅立叶变换,高斯平滑,灰度均衡,均值滤波,拉普拉斯锐化（边缘检测）, 离散余弦变换,亮度增减,逆滤波处理,取对数,取指数,梯度锐化,图象处理,图像镜像, 图像平移,图像缩放,图像细化,图像旋转,维纳滤波处理,用Canny算子提取边缘,阈值变换,直方图均衡.-30 image processing VC++ Source code, including 256 colors to grayscale, Hough transform, image_j1, PCA, Walsh transform, contrast stretching, binarization transformation, anti-color, box encoding, Fourier Transform , Gaussian smoothing, gray balance, mean filter, Laplacian sharpening (edge detection), discrete cosine transform, the brightness increases and decreases in inverse filtering deal, check on the number of check index, the gradient sharpening, image processing, mirror image, image translation, image scaling, image thinning, image rotation, Wiener filtering treatment using Canny edge extraction operator, threshold transform, histogram equalization.