稀疏融合

一个选择模板的匹配方式，附带视觉标定,可以自由的选择模板进行匹配(A matching pattern of selected templates with visual calibration)

该函数用于简单背景下运动目标检测和轮廓提取，虽为简易实现，但效果不错，可根据个人需要添加代码(This function for a simple moving object detection and contour extraction, although it is easy to achieve, but good results can be based on individual need to add code)

ENVI制作散点图可以更改背景颜色 可以显示出R方比以前版本更精细(ENVI make a scatter plot can change the background color can show the R side finer than the previous version)

利用灰度图 建共生矩阵 利用特征值 对纹理图像分割(The use of grayscale co-occurrence matrix to build the use of characteristic values of the texture map would like to partition)

文件包括图像平滑处理，灰度拉伸，梯度法锐化，拉普拉斯锐化，色彩变换 二值化，边缘增强等， 还有众多的直方图。是学习vb 图像处理的一个很好的实例！

说明：  本程序主要对遥感图像实现三种处理：几何校正、图像增强和图像配准。这三种处理都可以独立实现，然而对于原始的遥感图像将这三种处理依次进行效果更佳。(This program mainly deals with three kinds of remote sensing image processing: geometric correction, image enhancement and image registration. These three kinds of processing can be realized independently, but for the original remote sensing image, the effect of these three kinds of processing in turn is better.)

矩形检测：用霍夫直线检测方法来对图像中的矩形进行检测。开发环境：vc6，需要安装OpenCV。OpenCV只是用来读取和显示图像等简单操作。(Rectangle detection: Hough line detection method using the image of the rectangle to test. Development Environment: vc6, need to install OpenCV. OpenCV is used to read and display images such as simple operation.)

用matlab实现了图像通信中的全搜索算法与三步搜索算法这两种运动估值算法，给出了运动矢量图，对两种方法的计算复杂度和搜索性能进行了客观的比较。(Matlab image communication achieved by the full search algorithm in the three-step search algorithm with the two motion estimation algorithms, given the movement vector, the computational complexity of both methods and the search performance of objective comparison.)

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.)

基于光线补偿的人脸检测。首先对图像进行光补，在此基础上结合肤色和发色进行人脸检测。(Light compensation based on face detection. First, the image light make up, in this based on the combination of color and hair color for face detection.)