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这是运用matlab进行图像处理时会遇到的基本操作，包括图像的代数运算、几何运算、空间变换、区域操作等(This is for image processing using matlab will encounter the basic operations, including images of algebra, geometry operations, space transformation, regional operations, etc.)

Examples with Orthogonal Matching Pursuit and Compressive Sampling Matching Pursuit

去噪算法matlab源码三合一，包含BLS-GSM，BM3D，NLM(Denosing algorithms 3 in 1, include BLS-GSM+ BM3D+ NLM)

一个基础的ICP三维点云处理程序，可用来基础学习。(A basic ICP 3D point cloud processing program can be used for basic learning.)

图像融合客观评价程序，包括扭曲度，相关系数，方差等(Objective evaluation of image fusion procedures, including distortions, the correlation coefficient, variance, etc.)

将一幅M×N的灰度图像用3×3平均滤波器进行模糊，分别再加上一定的高斯 噪声和均匀噪声。然后，设计一个维纳滤波器对这两幅图像进行复原，分别 计算这两幅图像复原前后的PSNR。(Gray-scale image of a MN 33 average filter is vague, respectively, plus a Gaussian noise and uniform noise. Then, design a Wiener filter to recover these two images, the two images before and after the recovery of PSNR were calculated.)

说明：  方向梯度直方图检测算子，能够提取图像的HOG特征，进行分类与识别(Directional gradient histogram detection operator can extract the hog features of the image for classification and recognition)

运用基于密度的聚类算法实现了超像素的分割(The segmentation of super pixels is realized by using the clustering algorithm based on density)

显著区域检测的一篇文章所带的测试算法，CVPR(Salient Region Detector CVPR 2009)

图像处理中常用到的二十多个基本算法的源代码，如图像变换、灰度变换、图像滤波、锐化、边缘检测、阈值分割、边界提取、边界跟踪等(Commonly used in image processing to more than twenty basic algorithm source code, such as image conversion, gray-scale transformation, image filtering, sharpening, edge detection, threshold segmentation, edge detection, boundary tracking)