最大最小距离算法matlab代码

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 )

这是一个matlab的代码。利用自带函数，代码实现了医学图像的配准(This is a matlab source. Code implements images registration)

s变换；广义s变换；高斯邻域；时频分析；滤波(s transformation generalized s transformation Gaussian neighborhood time-frequency analysis Filtering)

一个去水印的程序，已调好。里边包含实例图片，可以帮助大家理解这个代码。(A program to watermark has a good tune. Inside contains examples of pictures that can help us to understand the code.)

此程序为袁晓彤CVPR论文“基于多任务联合稀疏表示的的视觉分类”的主代码部分(The program for Yuan Xiaotong CVPR paper " visual classification with Muti-task joint sparse representation" main code of the parts)

M估计子，计算机视觉大牛Peter Meer出品。(Generalized Projection based M-estimator C++ code to find the robust estimate derived without using any user supplied scale. The theory is described in Generalized Projection Based M-stimator. )

可以看到圆心坐标和半径参数，在坐标中画出这个圆，编写画圆函数(You can see the center coordinates and the radius parameters, draw the circle in the coordinates, write the function to draw the circle)

读取raw图，并转换为rgb图，显示转换后的rgb图(Figure raw read and convert rgb showing the converted diagram rgb)

这是一个matlab的源码。代码实现了Nonrigid Registration Using Free-Form Deformation.(It is a matlab source code. It implements "Nonrigid Registration Using Free-Form Deformation".)

三种图像分割法，有全局阈值otsu分割、迭代法全局阈值分割、局部阈值分割程序。(Three image segmentation method, there are global threshold otsu segmentation, iterative method global thresholding, local threshold segmentation program.)