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C++ GUI Programming with Qt 3不用再详细解释了吧，下载试一下就知道了(C GUI Programming with Qt 3 do not have a detailed explanation of it, Download trial will know what)

本文是中值滤波的一些应用，个人觉得中值滤波比一些算子滤波效果要好得多(This article is median filtering applications, personal feel median filter is much better than some of the filtering effect of the operator)

sift特征点检测及图像拼接，matlab7.0实现的，我从别人那里整过来的，测试的话，用在matlab里面直接调用match( b1.jpg , b2.jpg )即可，我测试成功，里面也有说明文档，为了科研，共享，希望大家有好的代码都0分共享，与己方便，与人方便，中国科研才会发展更迅速(sift feature point detection and image stitching of, matlab7.0 realized, I come from others where the whole test, used in matlab inside direct calls to match (' b1.jpg' , ' b2.jpg' ) can I test success, which also has documentation, in order to research, share, and hope everyone has a good code sharing, and has convenient, and accommodating, the more rapid development of China' s scientific research will)

这是一个非常经典的特征提取算法，matlab写的2DPCA源码(This is a very classical feature extraction algorithm 2DPCA, matlab source code)

matlab代码实现的retinex图像增强(retinex image enhancement matlab code)

说明：  在matlab的gui中画出手写数字识别的gui(Draw the GUI of handwritten numeral recognition in the GUI of MATLAB)

直方图是以图形化参数来显示图片曝光精确度的手段，其描述的是图片显示范围内影像的灰度分布曲线。它可以帮助分析图片的曝光水平等一些信息。(Histogram is a graphical display picture exposure parameters to measure the accuracy of its description is the picture display grayscale images within the distribution curve. It can help you analyze the picture and some information on exposure levels.)

ENVI二次开发去云处理补丁，可用于去除薄云影响(ENVI secondary development to cloud processing patch, can be used to remove the cloud-affected)

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.)

文件包含了基于米散射的球形代码...可用于计算球形粒子的基本光学参数..如消光效率，吸收效率..散射光强.单次散射反照率以及不对称因子等等....(File contains the code based on Mie scattering spherical ... spherical particles can be used to calculate the basic optical parameters .. as extinction efficiency, absorption efficiency .. scattering intensity single scattering albedo and asymmetry factor and so on ....)