matlab图像运算

用以图像分类，可以设计自己的数据集训练模型(For image classification, you can design your own data set training model)

我从网上经过搜索和整理得到了大家想要的图像处理类：CImageObject，这个类库中包含了两个完整类：CImageObject类和ImageLoad类，包中也包含有*.h,*.lib,*.dll等相应的文件。相信你一定用得着！它们可以处理BMP、GIF、PCX、TGA、JPG、TIF格式的图像文件。(I am from the Internet after a search and organize by the U.S. want to deal with categories of images: CImageObject, this library contains two types of integrity: CImageObject category and ImageLoad category, the package also contains*. h,*. lib,* . dll, such as the corresponding documentation. Trust that you will certainly need it! They can handle BMP, GIF, PCX, TGA, JPG, TIF format image files.)

ENVI二次开发去云处理补丁，可用于去除薄云影响(ENVI secondary development to cloud processing patch, can be used to remove the cloud-affected)

该程序实现了相位编组法检测，可以将灰度缓慢变化的边缘提取出来(Realize the process of phase formation assay can be gray-scale changes in the edge of the slow extracted)

高光谱图像的地物分类技术，对光谱分析并对比检测出地景的算法(Fifth hyperspectral image classification techniques, algorithms for spectral analysis and contrast detect landscapes)

2个matlab的源代码：身份证号码识别源代码与matlab截取图像批处理源代码(ID number identification graduation design reply demo program source code and MATLAB intercept image batch source code)

一个交互式程序，利用Hough变换检测圆。允许人工选择圆半径。(An interactive process, the use of Hough transform circle detection. Permit artificial selection radius.)

基于梯度下降的稀疏约束 NMF 算法(NMFsc)，之前pudn上也有类似的，但缺少一个程序，这里面都包括了 (Based on gradient descent sparse constraint NMF algorithm (NMFsc), before the pudn has a similar, but the lack of a program, there are included)

转：https://blog.csdn.net/jinshengtao/article/details/26278725 混合高斯背景建模是基于像素样本统计信息的背景表示方法，利用像素在较长时间内大量样本值的概率密度等统计信息(如模式数量、每个模式的均值和标准差)表示背景，然后使用统计差分(如3σ原则)进行目标像素判断，可以对复杂动态背景进行建模，计算量较大。 在混合高斯背景模型中，认为像素之间的颜色信息互不相关，对各像素点的处理都是相互独立的。对于视频图像中的每一个像素点，其值在序列图像中的变化可看作是不断产生像素值的随机过程，即用高斯分布来描述每个像素点的颜色呈现规律单模态(单峰)，多模态(多峰)(Gaussian mixture background modeling is a background representation method based on the statistical information of pixel samples. Statistical information such as the number of patterns, the mean and standard deviation of each pattern are used to represent the background. Statistical difference (such as 3_principle) is used to judge the target pixel. Complex dynamic background modeling has a large amount of computation. In the Gaussian mixture background model, it is considered that the color information between pixels is uncorrelated and the processing of each pixel is independent of each other. For each pixel in a video image, the change of its value in a sequential image can be seen as a random process that produces pixel values continuously, i.e. Gaussian distribution is used to describe the regularity of color rendering of each pixel in single mode (single peak) and multi-mode (multi-peak).)

多目标检测与跟踪算法的实现，matlab程序，各个函数分开写的，便于调用(Many target detection and tracking algorithm, the realization of the matlab, each function, easy to call the write it separately )