fastNLmeans2

本程序实现选定图像的Haar-like特征提取功能，方便学习者能直观的看到各类Haar-like特征值。代码简单易于理解。(The program implements the selected image Haar-like feature extraction function to facilitate the learners can visually see all kinds of Haar-like feature values. Code is simple and easy to understand.)

说明：  灰度图象的直方图均衡化；梯度；直方图规定化；(Keywords histogram equalization of gray image; gradient; histogram specification;)

PCA_进行indian_pines数据集合分类。((use PCA to classify the indian_pines data with train and test data in the rar))

利用ENVI/IDL，计算多幅图像的各个像元的平均值。并忽略空缺值(Use ENVI/IDL, calculate the average of each pixel of multiple images. And ignores the value of vacancies)

说明：  Susan角点提取检测，进行图像处理，主要运用在数字水印特征提取方面(Susan,In the aspect of image feature extraction, watermark is mainly used for corner detection)

采用radon变换检测直线，有详细注解，具有抗旋转性(Radon transform line detection, and a detailed explanation, with anti-rotational)

说明：  培养学生综合利用Matlab解决专业问题的能力 GUI设计+图像处理 基于数字图像处理，设计实现一个自然场景下公路交通限速标志分割和识别的程序。要求系统具有界面，并实现以下功能： 1）读入自然场景下包含交通标志的图像； 2）对图像进行预处理； 3）限速交通标志的分割； 4）交通标志区域的定位。 5）对限速标志中的数字进行分离和识别。(MATLAB basic programming experiment 5)

说明：  matlab程序，用于实现对给定图像做的任意角度旋转(rotate a picture by any angle)

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 )

Keren 配准的MATLAB源程序，可以进行图像配准及超分辨率运算(Keren registration of the MATLAB source code)