funqei

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.)

是有关图像去噪与分割的算法，形态成分分析法，的源码，可以直接使用(Is the source of the image denoising and segmentation algorithm, the form of component analysis, can be used directly)

测距的相关内容以及采用三角测量的方法测量出来(Ranging content and the use of the triangulation method is measured)

巴特沃斯低通滤波器的C语言实现原理以及程序，对理解滤波器原理有很好的帮助(Butterworth low-pass filter, and a program in C language implementation principle for understanding the principles of good help filter)

基于lsb的图像信息隐写算法 利用MATLAB实现(lsb-steganography)

以实例列举了MATLAB中常用的图像处理函数的代码(Examples are given to illustrate the image processing functions commonly used in MATLAB code)

数字图像处理第二版英文版（冈萨雷斯）.pdf(Digital Image Processing Second Edition English (Gonzalez). Pdf)

说明：  matlab code for scma (MA)in 5G

说明：  单目视觉中的位姿估算代码，基于正交迭代的OI算法，含有主程序和test代码，test代码可以看到位姿估算解的精度(Monocular vision pose estimation code, orthogonal iterative algorithm based OI, containing the main program and test the code, test code can see the accuracy of pose estimation Solutions)

分别利用均值滤波、自适应滤波和中值滤波对噪声图像g1和g2进行滤波，利用峰值信噪比对去噪性能进行比较。(Respectively, using the mean filter, adaptive filtering and median filtering images g1 and g2 noise filtering, denoising performance comparison using the peak signal-to-noise ratio.)