MRF

说明：  独立分量分析，快速独立分量分析，FAST-ICA可以用(Independent component analysis)

基于灰度和matlab编写的图像匹配源代码，运行效果不错(Prepared based on the gray and the image matching matlab source code, run the effect of good)

简单的图像积分图的汇编算法；图像积分图的计算在图像处理中经常用到(A simple compilation of the image points map algorithm image points in the map frequently used for image processing)

自适应子空间分解（ASD）算法的程序。用于高光谱图像降维(ASD on hyperspectral)

基于kalman滤波的图像目标识别的matlab代码，将运动目标从背景中分离出来(Kalman filter based on image recognition of matlab code, will be moving targets separated from the background)

振动信号预处理。去噪、去趋势项等。滑动平均法消除趋势项。(Vibration signal preprocessing. De-noising, the trend term.)

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.)

说明：  滤除各种噪声比较，高斯噪声，NLM滤波，双边滤波。(Comparison of filtering out various noises)

通过sift算法进行图像配准，配准效果好，精度高(Image registration algorithms sift through the good registration results, high precision)

视觉引导车路识别：灰度AGV路径识别；彩色AGV路径识别；HSI彩色空间的AGV路径识别；路径中心线的定位；Radon变换的AGV路径偏差检测(Vision Guided Vehicle Road Identification: gray AGV path identification color AGV path identification HSI color space of the AGV path identification path centerline positioning Radon transform of the AGV path deviation Detected)