TV

HBT实验，这个实验用来测量恒星的角直径。这个算法可以对实验进行仿真(HBT experiment, this experiment is used to measure the angular diameter of stars. This algorithm can simulate the experiment)

计算机图形学图像处理学习内容，附带PPT教程里面的代码。(the ppt for Digital Image)

镜头指纹识别，提取镜头特征，对其他照片进行识别，判断是否来源同一相机。(Image Source Detection)

基于卡尔曼滤波器的监控系统的设计，实现了对运动目标进行识别，并对其运动轨迹进行预测的功能；当二值化图像超过一定阈值时，判断为有外人入侵，实现报警功能。(Kalman filter based on the design of monitoring system to achieve the recognition of moving objects, and its motion trajectory prediction function when the binary image exceeds a certain threshold, to determine the invasion of outsiders, to achieve alarm function.)

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.)

应用于Adams软件的二次开发,分别为子程序文件以及目标文件(The second development of Adams software)

用matlab对指纹识别图像算法的实现，包括分割，增强，二值化，细化，提取和匹配(Using matlab fingerprint image algorithm, including segmentation, enhancement, binarization, thinning, extraction and matching)

一些常用的高光谱解混方法的matlab代码(Hyperspectral unmixing method matlab code)

说明：  利用k-means算法进行图像分割，效果较好(Using k-means algorithm for image segmentation is better)

说明：  自己编写的基于直方图均衡化以及边缘增强的程序！(I have written based on histogram equalization and edge enhancement procedure!)