imm-sift-生成全景图

图像处理中，相机坐标系和世界坐标系的转换(transfer from camera coordinate to world coordinate)

本程序主要实现低分辨率图像的超分辨率重建，有助于我们理解图像重建的过程和原理(This procedure is mainly to achieve super-resolution reconstruction of low-resolution images help us understand the process and principles of image reconstruction)

边沿检测与提取，轮廓跟踪的图象算法 用VC++实现，下载可以正常运行(Edge detection and extraction, contour tracing algorithm using image VC++ Realization can download the normal operation of)

使用matlab对图像进行超像素分割，附带可执行程序。(Using MATLAB for ultra pixel segmentation of the image, accompanied by executable program.)

说明：  利用CFAR检测SAR图像中的高亮度目标。(Detect targets with high backscattering intensities by CFAR algorithm)

RunSFM中作者写的纹理映射的应用程序(RunSFM the authors write texture mapping application)

说明：  彩色图像分割，灰常不错。This function implements kmeans clustering on an input RGB (m x n x 3) image. The user inputs at least two inputs: IMGIN and NCLUSTERS, and this function will step through an interactive color segmentation using kmeans clustering. It is interactive in that the user will be prompted to click-define the target colors in the segmentation.(This function implements kmeans clustering on an input RGB (m x n x 3) image. The user inputs at least two inputs: IMGIN and NCLUSTERS, and this function will step through an interactive color segmentation using kmeans clustering. It is interactive in that the user will be prompted to click-define the target colors in the segmentation.)

基于导纳增量法的光伏发电最大功率跟踪算法仿真模型。该模型精度较高，很好的跟踪最大功率点(Based on admittance incremental method of photovoltaic maximum power tracking algorithm simulation model.The model precision, good track the maximum power point)

采用质心算法来计算输入的激光光斑图像的中心位置，开始的时候可以选择图片的名称和路径(Using centroid algorithm to calculate the position of the input laser spot center of the image, you can select the picture at the beginning of the name and path)

ViBe算法是由Olivier Barnich 和 Marc Van Droogenbroeck在2011年提出的一种背景建模方法。该算法采用邻域像素来创建背景模型，通过比对背景模型和当前输入像素值来检测前景.(ViBe algorithm is a background modeling method proposed by Olivier Barnich and Marc Van Droogenbroeck in 2011. The neighborhood pixels are used to create the background model, and the foreground is detected by comparing the background model and the current input pixel values)