图像融合

此代码实现了基于Multiphase的level set图像分割算法，得带速度快，通过调整参数可以获得很好的分割效果。(This code-based Multiphase the level set image segmentation algorithm, was with the speed, by adjusting the parameters can get very good segmentation results.)

《精通Visual C++数字图像处理技术与工程案例》中第10章运动系统识别 (Motion system identification )

gdal读tiff图像,获取图像大小，波段信息，图像数据，写Tiff图像到固定路径。(Read and write an TIff image using GDAL)

实现边缘特征提取的功能有很强的特征提取功能能够边缘特征进行提取(Edge feature extraction to achieve the function of the characteristics of a strong edge feature extraction functions can be extracted)

分水岭算法的实现，能自动对图像进行分割，任何图像都能够读取(Watershed algorithm, can automatically split the image)

kinect扫描到的人体分离出来，并以二值图显示，且可以保存在本地，丰富的注释帮助理解(kinect body scan to be separated, and binary image display and can be saved locally, rich annotation to help understand)

离散分数阶傅立叶变换，算法参考 C. Candan, M.A. Kutay, and H.M. Ozaktas. The discrete Fractional Fourier Transform. IEEE Trans. Sig. Proc., 48:1329--1337, 2000 (Discrete fractional Fourier transform algorithm reference C. Candan, MA Kutay, and HM Ozaktas. The discrete Fractional Fourier Transform. IEEE Trans. Sig. Proc., 48:1329- 1337, 2000)

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 )

说明：  对遥感影像融合质量评价的程序，输出均值 标准查 信息熵 相关系数 光谱保真(To evaluate the fusion quality of remote sensing image, output the mean value standard to check the spectral fidelity of entropy correlation coefficient)

此实例已经过测试，大家拿来即可使用，无须配置！ 两个功能：一个是用程序实现下载网络图片至本地，另一个是自动生成该图片的缩略图