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sift算法在cv领域的重要性不言而喻，该作者的文章引用率在cv界是number1.本篇博客只是本人把sift算法知识点整理了下，以免忘记。本文比较早的一篇博文opencv源码解析之(3)：特征点检查前言1 中有使用opencv自带的sift做了个简单的实验，而这次主要是利用Rob Hess的sift源码来做实验，其实现在的opencv版本中带的sift算法也是Rob Hess的，只是稍微包装了下。 下面来做下试验,试验sift代码采用Rob Hess的代码，opencv目前版本中的sift源码也是采用Rob Hess的。代码可以在他的主页上下载：http://blogs.oregonstate.edu/hess/code/sift/ 这里我下载的是windows版本的，并采用Qt做了个简单的界面。(sift algorithm is self-evident the importance of the cv field, the author of the article referenced in the cv sector is number1 this blog I just sift algorithm knowledge compiled under, so as not to forget. This article compares the earlier blog post opencv source code analysis (3): check the preface of the feature points 1 the opencv bring their own sift to do a simple experiment, but this time Rob Hess' s sift source to experiment. In fact, with the opencv version sift algorithm is Rob Hess, only slightly packing the next. Below to do the next test, test sift code using the code of Rob Hess, sift source opencv version of Rob Hess. The code can be downloaded on his home page: http://blogs.oregonstate.edu/hess/code/sift/ here I downloaded the windows version, and using Qt to do a simple interface.)

多维尺度不变性的Ｃ＋＋实现，必须联合ＩＴＫ一起用，享受吧(Multi-dimensional scale invariance of the C to achieve, we must co-itk together, and enjoy it)

本文件用matlab 语言，对kalman滤波的方法进行仿真，画出来原始曲线，观察值，和跟踪曲线，会对初学者有很大的帮助！(this document using Matlab language, Kalman filtering method simulation, sketching out the original curve, observed values, and tracking curve, beginners will be of great help!)

说明：  利用匹配滤波器实现图形识别，包括程序和说明文档(Graphic Recognition Using Matched Filter)

用小波工具箱函数实现小波包的分解与重构，非常适合与机械故障特征提取。(Wavelet packet decomposition and reconstruction, and is ideal for mechanical fault feature extraction using wavelet toolbox functions.)

说明：  遥感图像的道路提取。基于数学形态学处理的道路提取(Road Extraction from Remote Sensing Images)

说明：  Create hex map settigns

用harris算法对图像进行角点检测,输出为这些点的坐标的矩阵(Harris algorithm using corner detection image, the output for these points, the coordinates of the matrix)

检测图像角点特征，学习matlab应用程序，学习计算机视觉基础知识(Detection of image corner features)

说明：  基于小波变化的图像融合算法，matlab实现(Image fusion algorithm based on wavelet transform, realized by MATLAB)