MatlabCode

可用于CCS3.3的数字图像边缘锐化处理(Digital image edges can be used for sharpening CCS3.3)

说明：  matlab 拉盖尔-高斯光束 pl=01 模态(Matlab Laguerre Gaussian beam PL = 01 mode)

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.)

基于Visual C++的图像边缘检测工程，以Canny为例(Visual C++-based image edge detection works to Canny Case)

高光谱分析工具包 用于matlab环境中 可以比较省事实力的对高光普图像分析 很实用(hyperspectral analysis)

通过对图像加燥，运用叠加运算对加燥后的图像进行去燥处理(Removal of Gauss noise by addition operation)

一种比较新颖的方法，通过对以往提出几种核估计方法的融合，建立新核，达到更好的图像恢复效果(A relatively new method, proposed in the past by the nuclear fusion of several estimation methods, the establishment of new nuclear, to achieve better image restoration effect)

基于IDL的HJ_1A 高光谱HSI图像条带噪声去除方案研究(Based the IDL' s HJ_1A hyperspectral HSI image strips with noise removal solutions for research)

indexation suit tuto of indexation for images

细菌觅食算法与粒子群优化算法相结合的程序，可以实现适应度函数的最值计算，有很好的参考价值。(Bacterial Foraging algorithm and particle swarm optimization combined program, you can achieve the best fitness function value, and have a good reference value.)