Proceduresbasedonwaveformmatching

这份代码是使用haar+adoboost做人脸检测用的，文件中还包括其他的特征选择，特征提取的算法，对于想做人脸检测这一块的朋友，可以下载来研究。(This code is used haar+adoboost human face detection, the document also includes other feature selection, feature extraction algorithm for face detection which one wants a friend, you can download to study.)

本程序是应用于图像分割（区域合并）基于最大相似 联合开发网 - pudn.com

对图像进行边缘检测的程序，实例为经典的lena图像。(The image edge detection procedures, examples of classic lena image.)

LLE算法，matlab源码，LLE算法是流形学习算法的一种(LLE algorithm, matlab source, LLE algorithm manifold learning algorithm is a)

IHS,PCA加权图像融合三种算法的Matlab源代码(IHS,PCA Matlab )

基于sift的图像特征点提取和图像拼接，有可直接运行的代码和图片(Sift the image feature point extraction and image stitching, can be directly run the code and pictures)

sift算法在cv领域的重要性不言而喻，该作者的文章引用率在cv界是number1.本篇博客只是本人把sift算法知识点整理了下，以免忘记。本文比较早的一篇博文opencv源码解析之(3)：特征点检查前言1 中有使用opencv自带的sift做了个简单的实验，而这次主要是利用Rob Hess的sift源码来做实验，其实现在的opencv版本中带的sift算法也是Rob Hess的，只是稍微包装了下。 下面来做下试验,试验sift代码采用Rob Hess的代码，opencv目前版本中的sift源码也是采用Rob Hess的。代码可以在他的主页上下载：http://blogs.oregonstate.edu/hess/code/sift/ 这里我下载的是windows版本的，并采用Qt做了个简单的界面。(sift algorithm is self-evident the importance of the cv field, the author of the article referenced in the cv sector is number1 this blog I just sift algorithm knowledge compiled under, so as not to forget. This article compares the earlier blog post opencv source code analysis (3): check the preface of the feature points 1 the opencv bring their own sift to do a simple experiment, but this time Rob Hess' s sift source to experiment. In fact, with the opencv version sift algorithm is Rob Hess, only slightly packing the next. Below to do the next test, test sift code using the code of Rob Hess, sift source opencv version of Rob Hess. The code can be downloaded on his home page: http://blogs.oregonstate.edu/hess/code/sift/ here I downloaded the windows version, and using Qt to do a simple interface.)

对车牌进行预处理（图像分割），然后进行文字识别(Pretreatment of the plate (image segmentation), and then proceed to character recognition)

盲去卷积复原图像的示例翻译，加入了中文标注，效果较好(deconvblind)

用于图像去噪处理Tikhonov模型，仅供用于学习参考(Tikhonov model for image denoising)