zengqiang

mean shift 的经典实现源代码，可以做为基核，大量改用(realize the classical mean shift source code, can be used as nuclear matrix, a large number of switch)

Stereoscopic video coding

本论文从CT图像重建原理入手, 根据迭代重建的物理意义, 从投影模型出发, 得到投影数据, 然后利用迭代算法MART 及SIRT 重建出断层图像, 再与模型相比较, 从而确定各算法的优劣, 总结出如何选择合适的图像重建算法。(Iterative Algorithms in Computed Tomographic Reconstruction)

图像处理.最全的压缩编码与解码.非常值得学习(Image processing most complete compression encoding and decoding. Worth learning)

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：  用PALKING模糊方法进行边缘检测，还有3个自适应改进方法(PALKING fuzzy method with edge detection, there are three adaptive Improvement)

语音特征提取代码，提取mfcc和lpcc。(Speech feature extraction code, and extract mfcc lpcc.)

迭代阈值方法进行图象分割的函数,有测试程序和图片(threshold iterative method of image segmentation function, test procedures and Photo)

基于HIS空间的彩色烟雾图像分割算法，包含粗分，细分割与连通域提取(HIS color space based on image segmentation algorithm smoke contains coarse points, fine segmentation and connected domain extraction)

干涉SAR图像配准程序，matlab编的，很好用！(Interferometric SAR image registration procedures, matlab, and easy to use!)