汉化包

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

图像压缩感知,稀疏基为FFT或DWT（其中FFT是构造正交变换矩阵，DWT是对高频系数进行测量）；重构方法为OMP(compression sensing of image based on FFT or DWT)

说明：  实现了平移、缩放、旋转和错切等仿射变换的问题，并用MATLAB逼真模拟了蕨类叶、变形蕨类叶与拟仿射变换分形图。(Achieved a pan, zoom, rotate and cross cutting issues such as affine transformations, and use MATLAB to simulate real fern leaf, fern leaves and to be deformed affine fractal images.)

harris角点检测，并且实现两幅图像特征点的匹配，最终完成图像的拼接(harris corner detection, and realize two image feature point matching, the final completion of image stitching)

BenchmarkDataset,做图像处理的标准图像库(BenchmarkDataset, do image processing standard image library)

人工智能 caffe 用与ssd yolo(Artificial intelligence SSD Yolo)

无监督分类方法，包括kmeans，som和fcm，非常好用(Unsupervised classification methods, including kmeans, som and fcm, very easy to use)

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.)

BlurTemplate.m为模糊模板函数子程序 DIPexp2.m为用逆滤波和维纳滤波进行恢复的源程序(Template function for the fuzzy BlurTemplate.m Subroutine DIPexp2.m using inverse filtering and Wiener filtering for the restoration of the source)

说明：  图像梯度计算 遥感图像处理必备 非常实用 欢迎下载(Remote sensing image processing image gradient calculation is very useful are welcome to download necessary)