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VC做的图像处理方面的一些代码，仅供参考(VC do image processing of some code, only supplies the reference )

本程序是使用c++开发语言编写的，功能是将bmp图像进行细化处理，比如，可以将比较粗的汉字细化成较细的汉字。(This program used c++ development language, the function is to thinning BMP image . For example, it can be more crude refining the Chinese characters into a fine characters.)

OPENCV图像处理模板，有界面编程的，以后运用opencv直接在里面填写代码就可以了(OPENCV image processing template, with interface programming, and after using opencv code directly on the inside can be a complete)

Image enhancement is a processing on an image in order to make it more appropriate for certain applications. It is used to improve the visual effects and the clarity of image or to make the original image more conducive for computer to process. Contrast enhancement changing the pixels intensity of the input image to utilize maximum possible bins. We need to study and review the different image contrast enhancement techniques because contrast

图像局部放大功能。包括主要的三个消息处理函数，由鼠标拖动画出需放大区域，松开即将图像局部放大到整个客户区，能够实现层层放大。(enlarge images partial function. Including the three main message processing function, the mouse scrolling painted by the need to enlarge the regional, Loosen the forthcoming local enlarge images of the entire client area, can be achieved at every level to enlarge.)

读取一24位彩色图像，计算其以下图像特征： 1）灰度直方图 2）颜色直方图（RGB3个通道） 3）方向梯度直方图（HOG，将图像分成4*4 16个块，8个梯度方向） (Read a 24-bit color images, calculate the following image features: 1) Histogram 2) color histogram (RGB3 channels) 3) histogram of oriented gradients (HOG, the image is divided into 4* 4 16 blocks, 8 gradient directions))

程序将界面与数据处理分开，界面采用MFC的对话框模板，对注册、训练、识别和主界面分别建立一个类，通过消息处理函数与用户进行交互，利用多线程来实时显示图像。 数据处理又分为了CFaceAlign（人脸检测+几何归一化）、CLightPrep（光照归一化）、CFaceFeature（Gabor特征提取）、CSubspace（计算Fisherface子空间）四个类，还有一个类 CFaceMngr 负责管理界面与数据之间的交流。这样的程序结构使对界面和算法彼此独立，互不影响。 每个类的具体方法请见相应头文件中的注释。(The program will interface with the data processing separate interface using MFC dialog template, registration, training, recognition and the main interface, respectively, to create a class that interacts with the user through a message handler, using multiple threads to display images in real time.   Data processing is divided into a CFaceAlign (Face Detection+ geometric normalization), CLightPrep (illumination normalization), CFaceFeature (Gabor feature extraction), CSubspace (computing Fisherface subspace) four categories, as well as a class is responsible for managing CFaceMngr interface and data exchange between. Such a program structure allows for interfaces and algorithms are independent of each other. Specific methods of each class, see the comments in the appropriate header files.)

利用Artoolkit实现了虚拟现实的算法，VS2008下测试通过(Use Artoolkit algorithm to achieve a virtual reality, VS2008 under test)

实现用帧差法画质心轨迹 高斯背景建模 可以运行的程序 opencv(Picture frame difference method implemented by the loci of Gaussian background modeling)

Some of image processing tools in visual C++