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fastmarching算法的matlab实现源码，对学习偏微分方程图像处理算法有很大帮助(Fastmarching algorithm to learn matlab source, partial differential equations are of great help image processing algorithm )

* 说明: 该函数将对图象进行（成对函数匹配）操作。需要注意的是，此程序先要求对图像进行特征提取及形态学操作等，使其成为二值图像。(* Note: This function will be images (paired function matching) operation. Note that this procedure require image feature extraction and morphological operations, making it a binary image.)

说明：  医学图像重建算法中OSEM算法的Matlab程序(MATLAB Program of OSEM Algorithms)

Google Doodle推出了一款极其炫酷的LOGO，整个LOGO使用了CSS Sprite技术，利用一个初始图片和一张画满各个动作的拼接图片，实现了动画，而非传统的GIF动画图像(Google Doodle launched a very cool LOGO, LOGO using CSS Sprite entire technology, the use of an initial picture and a painting full picture stitching each action to achieve the animation, instead of the traditional animated GIF images)

说明：  基于BoVW的图像特征提取，以及图像检索(Image feature extraction and image retrieval based on BoVW)

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 )

sift图像处理的一个测试的代码，他是用C++写的 用到了opencv中的一些函数(sift image processing as a test of the code, he wrote with C++ uses some of the opencv function)

说明：  在对多光谱遥感影像进行大气校正处理以后，可以利用K_T变换矩阵对其进行水体提取，该算法效果较好(After the atmospheric correction of the multispectral remote sensing image, the water body can be extracted by using the k transform matrix, and the effect of the algorithm is good.)

说明：  一个纹理坐标自动生成的例子，有助于理解纹理坐标自动生成的各个函数(An example of automatically generated texture coordinates, texture coordinates generated automatically help you understand the various functions)

基于环形颜色直方图的图像检索算发，比传统方法好用的多(Annular color histogram-based image retrieval count hair, easy to use than the more traditional methods)