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将需要处理的图像进行九等分，输出分割的图像并确认是否保存。——By LPETERPAN(Will need to deal with the image of nine equal, the output image segmentation and confirm whether to save.—— LPETERPAN)

说明：  python实现的运用brief算法提取特征点的图像拼接(The implementation of Python using brief algorithm to extract feature points of image mosaic)

本算法实现了dct基字典的构造并用其进行对图像的消噪。(Algorithm DCT-based dictionary structure and use it for image de-noising.)

调用 envi5.3自带的FMask云检测功能，并输出掩膜文件(Call the FMash cloud detection function of envi5.3 and output the mask file)

说明：  用于去除背景，得到原图与背景相减的图像并二值化(boundaries defects and improve the quality of remote sensing images and improve the visual effects))

用lbp实现纹理特征提取，并分类说明: 一共有三个m文件，一个是lbp.m, 存放主要的lbp算法， 一个是getmapping,用以做算法的辅助函数， 一个是lbptest.m,存放着测试代码。 这三个文件需要放到同一个文件夹，并在文件夹中添加相应的图片， 具体的图片名字见lbptest.m的代码，运行lbptest.m可以查看结果。代码最后给出效果图 这三个文件是最传统的LBP方法，有256种。(With lbp achieve texture feature extraction and classification Description: A total of three m files, one is lbp.m, store the main lbp algorithm, One is getmapping, helper functions for doing arithmetic, One is lbptest.m, kept the test code. These three documents need to put the same folder, and add the appropriate folder, pictures, See lbptest.m specific name of the picture of the code, run lbptest.m can view the results. Finally renderings code These three documents are the most traditional LBP method, there are 256 kinds.)

活动目标检测源码,用混合高斯算法编写，适用于复杂场景视频监控(alive target detection，used in GMM algorithm)

DDB 图像编程 实现图像的打开，保存，显示，一般处理等功能(DDB image programming to achieve the image open, save, display, general processing and other functions)

实现BM3d denoising的源代码。 (BM3d denoising implementation source code)

说明：  基于opencv的图像灰度化，将24位彩色图像重新量化为8位灰度图像(gray image)