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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)

说明：  颗粒粗化源码，将马赛克现象认为的作用于一副图像，称之为颗粒粗化。可以用来建立图像切换效果(source of coarse particles, that the phenomenon will mosaics in the role of an image, known as particle coarsening. Images can be used for switching effects)

这是一个关于振幅匹配的程序，C环境开发，可用于地震资料振幅匹配(This is a very useful program for amplitude matching by C)

低时延检测技术分析，包括免调度和信息重传，低时延(Low latency detection technology analysis, including free scheduling and information retransmission)

基于彩色图像的加密方法，其中采用的是图像置乱加密的算法(Based on color image encryption method, which USES the image scrambling encryption algorithm)

MATLAB的机器视觉工具箱 绝对的精品(MATLAB toolbox of machine vision products absolute)

ASIFT算法实现，C++,对有仿射变换的图像匹配更加准确，想比SIFT算子匹配点数多(ASIFT algorithm, C++, affine transformation of the image matching more accurate, want to match more than SIFT operator points)

说明：  SRM空间富模型隐写分析算法,选区高维特征，使用集成分类器进行训练(Spatial Rich Model Steganalysis Algorithms, Selection of High-Dimensional Features, Using Integrated Classifier for Training)

通过准确的图像预处理和最小外接矩形方法，准确定位斑点位置和求取面积(Accurate location and area of spots are located accurately by accurate image preprocessing and minimum external rectangle method)

医学图像 CT/MR 图像的融合算法 使用梯度频率对两图像进行增强并融合，代码运行良好，适合初学者学习（注意无配准功能）(Medical image CT/MR image fusion algorithm uses gradient frequency to enhance and fuse two images, the code runs well, suitable for beginners to learn (pay attention to no registration function))