图像处理与机器视觉

利用小波熵自适应去噪并求出各层熵值（绝对值表示） 及权重，自写论文(Using wavelet entropy adaptive de-noising and the obtained layers entropy (absolute value) and weight, since writing papers)

说明：  在 matlab中实现一种局部阈值化图像的算法(In matlab to achieve a local thresholding algorithm for image)

基于MATLAB图像处理的车辆检测与识别（可以看看）基于MATLAB图像处理的车辆检测与识别（可以看看(MATLAB image processing based vehicle detection and recognition (can see) MATLAB image processing based vehicle detection and recognition (can see)

一个去除斑点噪声的滤波器的，特别适用于医学超声图像(A filter to remove speckle noise , especially for medical ultrasound image )

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.)

对图像矩阵进行zigzag扫描,从而达到对图像纹理（灰度值）置乱的效果。( scanning of the image matrix by Zigzag，To achieve the scrambling effect of the image texture (gray value).)

说明：  思想：把原始图的直方图变换为均匀分布的形式，这样就增加了灰度值的动态 范围从而达到增强图像整体对比度的效果。其优点是能自动地增强整个 图像的对比度。 1、对灰度图像进行直方图的均衡化处理，达到图像增强的目的。 2、利用平均滤波和中值滤波对图像进行平滑滤波。 3、利用拉普拉斯运算对图像进行锐化滤波。(Idea: transform the histogram of the original image into the form of uniform distribution, so as to increase the dynamic gray value Range to enhance the overall contrast of the image. Its advantage is that it can automatically enhance the contrast of the whole image. 1. The gray image is processed by histogram equalization to achieve the purpose of image enhancement. 2. Average filter and median filter are used to smooth the image. 3. Using Laplace operation to sharpen the image.)

说明：  使用GDAL的c#版本读取栅格图 gdal文件已经编译完成(Use C version of Dgal to read raster)

输入一个带权无向图的顶点数、边数、各条边信息（两个顶点和权值），建立该图的邻接矩阵结构，输出该邻接矩阵。将上述无向图邻接矩阵转换为邻接表结构，输出该邻接表；根据该邻接表对无向图进行深度优先遍历序列和广度优先遍历序列，并输出遍历结果；用prim算法实现构造该带权无向图的最小生成树，并将该最小生成树的各条边信息输出。(Enter a weighted undirected graph with vertices, edges, each of the side information (two vertices and weights), the establishment of the adjacency matrix structure, the output of the adjacency matrix. The above undirected graph adjacency matrix into adjacency list structure, the output of the adjacency list according to the adjacency table undirected graph depth-first traversal sequence and breadth-first traversal sequence, and outputs through the results using prim algorithm construct the weighted undirected graph minimum spanning tree, and the minimum spanning tree information on respective sides of the output.)

实现了C聚类以后的马尔科夫图像分割，对阈值的选取和图像的后验概率计算(C clustering after the Markov segmentation, the posterior probability threshold value is selected and images calculated)