sift-match

基于matlab的图像加解密的示例演示程序,带GUI显示界面，有2种加密算法(Matlab based image encryption and decryption demonstration program, with GUI display interface, there are 2 kinds of encryption algorithm.)

卡尔曼滤波（扩展方法）定时定位，自己编写调试。(Kalman filter (extension methods) time positioning, write your own debugging.)

图像的特征用到了Dense Sift，通过Bag of Words词袋模型进行描述，当然一般来说是用训练集的来构建词典，因为我们还没有测试集呢。虽然测试集是你拿来测试的，但是实际应用中谁知道测试的图片是啥，所以构建BoW词典我这里也只用训练集。 其实BoW的思想很简单，虽然很多人也问过我，但是只要理解了如何构建词典以及如何将图像映射到词典维上去就行了，面试中也经常问到我这个问题，不知道你们都怎么用生动形象的语言来描述这个问题？ 用BoW描述完图像之后，指的是将训练集以及测试集的图像都用BoW模型描述了，就可以用SVM训练分类模型进行分类了。 在这里除了用SVM的RBF核，还自己定义了一种核： histogram intersection kernel，直方图正交核。因为很多论文说这个核好，并且实验结果很显然。能从理论上证明一下么？通过自定义核也可以了解怎么使用自定义核来用SVM进行分类。(Image features used in a Dense Sift, by the Bag of Words bag model to describe the word, of course, the training set is generally used to build the dictionary, because we do not test set. Although the test set is used as the test you, but who knows the practical application of the test image is valid, so I am here to build BoW dictionary only the training set. In fact, BoW idea is very simple, although many people have asked me, but as long as you understand how to build a dictionary and how to image map to the dictionary D up on the line, and interviews are often asked me this question, do not know you all how to use vivid language to describe this problem? After complete description of the image with BoW, refers to the training set and test set of images are described with the BoW model, the training of SVM classification model can be classified. Apart from having to use the RBF kernel SVM, but also their own definition of a nuclear: histogram intersection kernel, histogram )

剪切波是小波变换的一种，常用于增强或者去噪，本代码用于去除图像噪声(The shear wave is a wavelet transform, often used to enhance or de-noising, the code is used to remove the image noise)

IDL环境下的EVF矢量数据创建，代码清晰。(IDL environment EVF vector data creation, code clarity.)

视频水印matlab源码，此为第三个压缩包，在水印领域的爱好者可以下载作为参考(Video Watermarking Matlab source, which is the third-compressed, Watermark in the field of lovers can download as a reference)

说明：  去除图像中的横向条纹，能有效恢复出原始图像(remove images of horizontal stripes, can be effectively restored from the original image)

说明：  整理了五种多曝光图像融合的代码，用于图像处理，图像去雾，有英文介绍(Five kinds of multi-exposure image fusion codes are sorted out.For image processing, image defogging, with English introduction)

说明：  图像去噪，降低图像的噪声，提高图像PSNR(image denoise,improve the psnr of image)

图像处理中的图像几何校正，使用MATLAB编程(Image geometric correction in image processing, using MATLAB programming)