SRG

图割算法 求图像的立体匹配问题 最大流最小割问题(graphcut stereomatching matlabcode)

图像处理方面，包括滑动窗口，线性滤波，中值滤波(Image processing, including sliding window, linear filtering, median filtering)

hdr图片合成，四幅不同曝光的图片合成一张hdr图片(HDR picture synthesis, four pictures of different exposures synthesize an HDR picture)

在一个具有几个顶点的连通图G中，如果存在子图G 包含G中所有顶点和一部分边，且不形成回路，则称G 为图G的生成树，代价最小生成树则称为最小生成树。 (Has several vertices in a connected graph G, if there subgraph G ' contains all vertices of G and part of the side, and does not form a loop, called G' is a spanning tree of G, the minimum cost spanning tree is called minimum spanning tree.)

混合高斯模型的背景减除法和相邻帧差法相结合进行目标检测的程序，内附视频(The background of the gaussian mixture model reduction division and adjacent frame differential method for target detection with the program, enclosing video)

说明：  对线激光相机标定，使用matlab编程，里面带有数据集，写好的函数。(Calibration of line laser camera, programming with MATLAB)

水平集(level set)的基本思想是将界面看成高一维空间中某一函数ψ（称为水平集函数）的零水平集，同时界面的演化也扩充到高一维的空间中。我们将水平集函数按照它所满足的发展方程进行演化或迭代，由于水平集函数不断进行演化，所以对应的零水平集也在不断变化，当水平集演化趋于平稳时，演化停止，得到界面形状。(The level set (level set) the basic idea is to interface as a higher dimensional space in a function (called a level set function) of the zero level set, and the interface evolution also extended to higher dimensional space. We evolve or iterate the level set function according to the evolution equation it satisfies. Because the level set function keeps evolving, so the corresponding zero level set is also changing. When the level set evolves to a stable state, the evolution stops, and the interface shape is obtained.)

说明：  在一图像中加入噪声，是超分辨率中的一个重要步骤哦(noise)

经典的图切算法NormalizedCuts.将图论应用到图像分割上，可以限定分割块数，有效分割图像。运行：demoNcutImage.m，即可看到效果。读取的图像名称和块数，可在程序中修改。(classic NormalizedCuts MAP algorithm. On the map will be applied to image segmentation, Segmentation can block limited number of effective segmentation image. Operation : demoNcutImage.m can see results. Read the name and image of a few blocks, the procedure can be modified.)

说明：  ：针对显微图像分析、识别需要的全自动控制显微镜，研究开发其相应的图像处理算法。提 出了能量谱自动聚焦评价函数算法、自适应选取基准图的图像拼接算法、改进 Laplacian算子的多层 聚焦图像叠合算法等。该算法模块已成功地应用于所开发的CMIAS 显微医学图像分析系统中，取得 了满意的应用效果。(【ABSTRACT】For the automatic microscope required by micro-image analysis and recognition, the relevant image processing a lgorithms are investigated. Three algorithms are described: energy-spectrum image auto focusing evaluation function, image merging based on the adaptive selection of standard image and sum-modified-Laplacian (SML) operator for multi-focus image fusion. The algorithms have been applied successfully to CMIAS medical micro-optical image analysis system and testified to be feasible and effective. )