Impulse_noise_removal

基于偏微分方程的遥感图像处理方法 利用测试图像对算法进行仿真验证，并与其它图像去噪算法进行去噪效果比较，通过数值对降噪效果进行评估，得出该方法不仅能够去除噪声而且能够很好的保护图像的边缘等细节信息，弥补了高阶非线性扩散去噪方法导致边界模糊的缺陷，提高了遥感图像的质量，改善了视觉效果(Simulation algorithm of remote sensing image processing methods based on partial differential equations using the test image denoising results compare with other image denoising algorithm to assess the value of the noise reduction effect, draw the method can not only remove the noise but well protected image edge details, to make up for the higher order nonlinear diffusion denoising method lead to fuzzy boundaries defects and improve the quality of remote sensing images and improve the visual effects)

能够将图像坐标转化为世界坐标，根据图像像素修改参数(Can transform image coordinates into world coordinates, and modify parameters according to image pixels.)

用EM算法进行图像的分割，matlab源代码。(EM algorithm using image segmentation, matlab source code.)

以标准化fcm分割为基础的，结合空间隶属度约束的改进算法(Fcm divided based on a standardized, combined with space constraints improved algorithm membership)

LBP（局部二值模式）特征提取，用于人脸识别，(LBP feature extraction for face recognition. . .)

一些matlab图像图像处理例程,骨架,灰度图像梯度,凸壳,细化.(Some image image processing matlab routines, skeleton, grayscale gradient, convex hull, thinning.)

说明：  解决散斑图像的重建问题,主要是使用了相位恢复算法(to study the picture problem)

一个非常实用的las文件处理工具，可以实现很多功能，如读写las文件，分类，分块，抽稀，合并，生成边界线，生成DEM，点云高度归一化，数据格式转换，波形数据压缩等(A very useful the las file processing tools, you can achieve a lot of features, such as read and write las file classification block Rarefy merge to generate the boundary line, generated DEM point cloud height normalized data format conversion, waveform data compression, etc.)

非负矩阵分解技术（Nonnegtive Matrix Factorization 一种信号或图像的特征提取的方法，也可用于图像压缩 (Non-negative Matrix Factorization technique (Nonnegtive Matrix Factorization a signal or image feature extraction methods can also be used for image compression)

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)