CameraTrackingmaster

图像的傅里叶变换。在代码中实现了将两幅图像的幅度谱和相位谱进行交换，进而理解两者在图像显示中的作用(Fourier transform of the image. Implemented in the code will be two images amplitude spectrum and phase spectrum of exchange, and thus to understand both the role of the image display)

Source code to segment skin colour.

MATLAB 计算医学图像的配准，融合 基于SIFT方法的配准()

由遥感图像的日数据生成旬数据，一是输出旬数据总和，二是输出旬数据平均值(From the date of remote sensing image data generated late data, the sum of ten days one output data, the second is the average of the output data late)

Graph cut with matlab. It is very powerful

一些图象处理及机器视觉的matlib工具，例程，有ransac算法，求单应矩阵等等。(some image processing and machine vision matlib tools, routines, ransac algorithm, should seek single matrix, and so on.)

SIFT算法，可以有效的找到不同画面中的对应特征点，在跟踪和图形识别方面有很好的用途(SIFT algorithm, can effectively find a different screen the corresponding feature points, in the tracking and pattern recognition as a very good use of)

说明：  基于小波变换的图像增强代码，试过了，很好用，希望对大家有帮助。。。。(Image enhancement based on wavelet transform code, tried, very good use, we want to help. . . .)

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.)

采用近邻插值和双线性插值两种插值方法，对图像进行放大处理。(Neighbor interpolation and bilinear interpolation using two kinds of interpolation methods to enlarge the image processing.)