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说明：  该节主要介绍下matlab下的光流法以及一个研究物体检测方面的一个较好的工具箱 ：Piotr’s Computer Vision Matlab Toolbox .将这两个工具箱及其里面所有文件的路径都添加到matlab路径中去，这样的话基本上是可以用了。 Piotr’s 的工具箱里面的函数很多，也涉及到了很多方面，更主要的是关于目标检测方面的。(This section mainly introduces the optical flow under Matlab and a better toolkit for researching object detection: Piotr 's Computer Vision Matlab Toolbox. Add the two toolkits and all the files in the path to the MATLAB path, which is basically useful. There are many functions in the toolbox of Piotr 's, and there are many aspects involved)

pca特征提取子程序，毕设用的，算法优化非常好，几乎没有循环，相当节省时间，堪称经典，运行绝对正确！！(pca feature extraction subroutine, used to complete set up, very good algorithm, almost no circulation, saving considerable time, classic, run absolutely right! !)

在视图窗口显现一个黑色的球体，背景为浅蓝色。颜色对比强烈(View window appear in a black sphere, as a light blue background. Strong color contrast)

SAR影像cloude分解，提取极化信息(PolSAR cloude decomposition)

影像融合评价程序，计算标准偏差，平均梯度，相关系数，光谱扭曲度等融合指标。(Image fusion evaluation, calculation of standard deviation, average gradient, correlation coefficient, spectral distortions, such as integration targets.)

这是我读硕时 师兄让我写的把AVI视频转成一帧帧图像的代码 绝对好用 文件夹理有我的联系方式 有问题问我(This is when I read Augmentum师兄let me write the AVI video into a frame image of the code is absolutely easy to use folder justifications have my contact there asked me the question)

说明：  基于内容的图片搜索，基于java实现，图片搜索及图像相似度计算(Content-based image retrieval)

说明：  包括影像预处理，叶绿素反演，水污染监测等功能(Including image preprocessing, water pollution monitoring and other functions)

VC图象处理电子书，Chm格式，基本与位图相关的都作了说明，很不错(VC image processing e-books, Chm format, and basic bitmap were made related to the note, a very good)

均值方差与协方差 协方差矩阵、特征值与特征向量的提取、PCA原理 人脸识别算法之EigenFace、LBPH 人脸识别应用开发案例(Mean Variance and Covariance Covariance Matrix, Extraction of Eigenvalues and Eigenvectors, PCA Principle EigenFace and LBPH of Face Recognition Algorithms Case Study of Face Recognition Application Development)