shepaishibie

彩色图像处理，RGB分通道彩色显示，灰度显示，直方图均衡，假彩色图像合成(Color image processing, RGB color display sub-channel, grayscale display, histogram equalization, false color image synthesis)

说明：  opencv入门程序，使用opencv模式读取图像并显示，在vs环境下调用matlab进行图像读取和显示(opencv entry procedures, read the image using opencv mode and display, in the vs environment, call matlab to read and display the image)

HBT实验，这个实验用来测量恒星的角直径。这个算法可以对实验进行仿真(HBT experiment, this experiment is used to measure the angular diameter of stars. This algorithm can simulate the experiment)

对图像进行高斯滤波后再提取边缘 对图像进行金字塔各层图像进行sobel提取边缘。 内附有原图，处理后的效果图及程序结果说明。(Gaussian filter and the image edge extraction layers of the image pyramid image sobel edge extraction. Enclosed is the original deal with the effects of plans and procedures after the results show.)

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.)

GABOR对SAR图像进行滤波及纹理提取，可直接使用(GABOR of SAR image filtering and texture, can be used directly)

图像处理中用于边缘检测图像的边缘连接和边缘拟合的代码(link edge)

说明：  对多帧图像进行超分辨率处理，得到一副高分辨率的单帧度图像。(Multi-frame image super-resolution processing, get a degree of high-resolution single-frame image.)

2009年CVPR最佳论文,何恺明的基于暗通道的图像去雾的相关论文，ppt以及matlab代码. Dark channel prior 是一种对无雾的图像的统计规律：在无雾图像中，大部分图像块中至少有一个颜色通道具有很小的颜色强度值。利用dark channel prior，可以直接从一幅有雾的图像中估计出雾的浓度，并恢复出高质量的去雾图像。(CVPR best paper in 2009 (He Kai Ming Single Image Removal Haze is the Using the Dark Channel) paper, ppt and the matlab code, it is)

说明：  BMED二维经验模态分解，用于处理二维信号(Two dimensional empirical mode decomposition)