region-merging-RAG

说明：  此工具包包含实现独立成分分析的若干matlab程序(The kernel-ica package is a Matlab program that implements the Kernel ICA algorithm for independent component analysis (ICA).)

说明：  图像分割的MATLAB实现，效果很好，对光照有一定的适应性(Image Segmentation of MATLAB to achieve good effect on the light a certain degree of adaptability)

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 )

2009年CVPR最佳论文（暗通道去雾算法）及其MATLAB代码(The best paper of 2009 CVPR conf.and its corresponding Matlab code. very useful for us.)

Reversible data hiding in images

阴影去除，用于视频监控中的运动目标检测后提取运动目标(Shadow Removal for moving object detection in video surveillance Moving Target Extraction)

用于学习经典书籍《合成孔径雷达算法与实现》(to learn the book named<<digital processing of SAR Algorithms and implementation>>)

为图像添加各种噪声，如高斯噪声、泊松噪声、椒盐噪声等。（需有openCV）(Add all kinds of noise for the image, such as Gaussian noise, Poisson noise, salt and pepper noise. (The need for openCV))

本源码是关于图像盲去模糊的算法，去模糊的几种方法中，盲去模糊目前研究比较热门(This source is about blind image deblurring , several defuzzification methods, blind deblurring research more popular)

内容为《基于偏微分方程的图像处理》一书的实验教程。 (Content as a )