orl_faces

MC算法实现CT医学图像的三维重建，面绘制技术(MC algorithm CT medical image reconstruction, surface rendering technology)

本文件中代码使用前馈卷积神经网络对图像进行去噪(In this paper, we use the feedforward convolution neural network to denoise the image.)

基于颜色衰减先验的图像去雾算法源码,作者是Zhu，大家可以作为论文中的比较算法(the matlab code of image dehazing based on color attenuation prior)

文件包含了基于米散射的球形代码...可用于计算球形粒子的基本光学参数..如消光效率，吸收效率..散射光强.单次散射反照率以及不对称因子等等....(File contains the code based on Mie scattering spherical ... spherical particles can be used to calculate the basic optical parameters .. as extinction efficiency, absorption efficiency .. scattering intensity single scattering albedo and asymmetry factor and so on ....)

RAT power toy (KOL)

利用背景减除法进行运动前景分割，而后利用归一化RGB颜色空间进行阴影减除，利用连通域进行滤澡，对每一帧进行运动前景提取。(Motion detection by background subtraction and RGB shadow removing method.)

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 )

2007年ICIP国际会议论文的源码，用于实现对图像的反卷积恢复。(2007 International Conference on ICIP paper source for the realization of the restoration of image deconvolution.)

LSB替换隐写软件，该软件能把ASCII码嵌入到图像中，其载体图像是24位的BMP格式图像(LSB Steganography tool which provides hide ASCII infomation within 24-bit Bitmap images)

用MATLAB来实现简单图像特征点提取和匹配(Using MATLAB to implement a simple image feature extraction and matching)