matlab

说明：  k-svd算法用于稀疏表示的图像去噪，字典学习算法，去噪效果良好(k-svd algorithm for image denoising of sparse representation)

实现了Thien在他的文章《secret image sharing》中提出的（r，n）门限秘密图像分存方案。 (Thien in his article " secret image sharing" (r, n) Door Threshold Secret Image Sharing Scheme.)

在visual c++中用分形完成的julia集,是分形的具体应用,对学分形的朋友应该有帮助(In the visual c++ Used to complete the julia fractal set, is the concrete application of the fractal, Friend of the credits should be shaped to help)

说明：  包括canny，sobel，log等边缘检测的改进算法，使用效果良好(Including improved edge detection algorithms such as canny, sobel, log and so on, the application effect is good.)

完成流程编码和huffman编码，适合做图像编码的熵编码，只要调整接口就好。(Complete the process encoding and huffman coding, image coding suitable for entropy coding, as long as the adjustment of the interface is like.)

此程序为泽尼克的方法拟合离散点的数据，用于图像处理。(Zernike parameter fitting)

cashift_matlab,我做的一些修改： 1.修改了之前网上的那种需要输入avi文件名再读取的方式，改成直接读取avi文件。 2.修改了另外建立avi文件的方式。 2.实时显示跟踪结果。 3.彩色图显示，用红色框圈出目标。 4.因为是基于颜色特征的，所以要选色颜色特征明显的。你可以自己拍摄目标颜色突出的avi视频来测试。 5.程序结束时有点小问题，按ctrl+c结束。(cashift_matlab, I made some changes: 1. Modify the kind of network before you need to enter the avi file name and then read the way to read avi file directly. 2. Modify the other way to create avi file. 2. Real-time display tracking results. 3. The color map shows the target with a red box. 4. Because it is based on the color characteristics, so to choose the color characteristics of the obvious. You can test your own avi video with a prominent target color. 5. A little problem at the end of the program, press ctrl + c to end.)

经典矩量法点匹配程序，重推导，注释说明详细(Classical point matching moment method procedure)

说明：  残差灰色模型的改进算法。可以得到高精确度的预测，很实用，并附有测试文件(Improved algorithm for gray model residuals. Can be predicted with high accuracy, very practical, with a test file)

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.)