SIFT_wonderful

基于PCA的雷达点云数据的形状特征提取,主要是屋顶平面提取(The feature extraction of LiDAR point cloud data based on PCA)

本算法为经典的criminisi算法，直接可以用于图像修复，资料中含有测试图片，测试效果明显，可以直接运行。(It is the classic criminisi algorithm and can be directly used for image inpainting, the data contains test pictures, the test results are obvious, the code can be run directly.)

Restrccuturacion de suburvia y etc

位图操作图形选取源码，例程程序结合易语言位图操作支持库，填充小图形的背景颜色。(Select the source bitmap graphics operations , routine program combining bitmap operations easy language support library , filled with small graphic background color.)

可以Raw格式图片(you can open raw file with the .m code.)

程序是实现交通标志图像的分割GUI界面，采用分割的方法主要有Ostu，阈值迭代选择法及区域生长法。(Program is to achieve a traffic sign image segmentation GUI interface, the mainly segmentation methods are Ostu, iterative threshold selection method and region growing method.)

基于meansheift的彩色图像分割方法。其中keyprogram.m为主程序。meanshift为调用函数(Color image segmentation method based meansheift. Where keyprogram.m main program. meanshift call the function)

fcm 及快速fcm实现图像分割，还带有GUI界面(fcm fcm and fast image segmentation, but also with GUI interface)

K-meansK均值聚类在无监督的情况下选择图像特征的算法(K-meansK means clustering in the case of unsupervised image feature selection algorithm)

alpha稳定分布噪声的matlab实现(alpha stable distribution noise matlab implementation)