fractal

说明：  image 数组 高速读写 不用指针(image array IO C#)

Unix系统下，小波包变换的实现源码实例，，当然，稍作改动也可用于windows系统下。 (Unix systems, the instance of the wavelet packet transform source, of course, some minor changes can also be used in the windows system.)

小波消噪 私家珍藏，互联网上其他地方是找不到的(Wavelet Denoising)

使用camshift方法进行运动目标跟踪，（修改了网上原有的camshift算法里的一些bug）(moving object tracking by camshift method,(modification edition of the original code on the web))

基于多尺度大气光的夜间去雾算法，ASPF模型(Nighttime Haze Removal with Glow and Multiple Light Colors)

说明：  一个声纹识别的全代码,包括语音信号的预处理,建模,和识别(Voiceprint identification of a full code, including the speech signal pre-processing, modeling, and identification)

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：  matlab实现sar图像雷达成像运行代码，亲测可用(Matlab SAR image radar imaging code, pro test available)

Timesat3.2，用于遥感影像的NDVI时间序列分析，提取物候参数。 (Timesat3.2, NDVI time series for the analysis of remote sensing images, extract phenological parameters.)

一种基于小波分析的彩色图像融合方法，需要同一场景的红外与夜视各一张，同时选取任意场景合适的彩色照片作为参考图像(A color image fusion method based on wavelet analysis, infrared and night vision needs each one of the same scene, the scene at the same time any suitable color photo as a reference image)