R Graph Essentials

移动窗口算法平滑光谱矩阵，用于近红外等光谱数据的预处理(Moving window spectral matrix smoothing algorithm for near-infrared spectral data, such as the pretreatment)

该代码用于对错误匹配点进行过滤操作，即去除错误的匹配点(The code is used to remove the wrong match points,and make sure the right matching.)

说明：  ＬＢＭ三维渗流计算，可以导出流场图和无量纲渗流系数(The flow field diagram and dimensionless seepage coefficient can be derived by LBM three-dimensional seepage calculation)

图像的高斯与拉普拉斯金字塔分解，两种方法都有(Image gaussian and Laplacian pyramid decomposition, there has two kinds of method)

基于sift算法的图像匹配。并用RANSEC算法去除错误匹配。最后还给出了sift算法的图像拼接。(Sift-based image matching algorithm. And use RANSEC algorithm to remove false matches. Finally, given the sift algorithm for image stitching.)

图像 自动 标注 通过分析 训练集 ，学习 图像 和标注词 之间的关系，得出 之间的关系，得出 一些规则， 然后使用这些规则 自动 推导出 图像 最适合的标注词 ，这些标注词代表了图像的 ，这些标注词代表了图像的 高层 语义信息 。(Automatic image annotation by analyzing the training set, learning image and mark the relationship between words, the relationship between the draw, draw some rules, and then use these rules to automatically derive the most suitable image annotation words, these words represent the image annotation , these words represent the image annotation level semantic information.)

用Canny算子提取边缘 用Canny算子提取边缘(Using Canny edge extraction Using Canny edge extraction Using Canny edge extraction Using Canny edge extraction Using Canny edge extraction)

说明：  如题，matlab手写数字测试图像处理 样本（30+50个）加全代码加测试结果(Like title, matlab handwritten digital test image processing samples (30 + 50) plus full code plus test results)

adaboost的实现算法，可进行人脸的样本训练(implementation of the AdaBoost algorithm, can be a sample of people face training)

在matlab的基础上，使用掩膜图像分割出上层图像(On the basis of matlab, mask image is used to segment the upper image)