节理面粗糙度风玫瑰图

Gabor 小波变换用于面部表情特征提取(Gabor Transform用于表情识别)

利用idl编写的窗口编辑源码，在envi/idl中直接打开应用(The use of the source code editor window idl written in envi/idl directly open the application)

自己编写的三维目标跟踪粒子滤波程序，比较基本，可以帮助学习理解。(I have written three-dimensional target tracking particle filtering procedures, basic, can help study and understand.)

Graph cut with matlab. It is very powerful

用matlab实现不规则光照下自适应阈值的前景背景分离算法。文件里面附测试图像。(Matlab implementation to use irregular light of the prospects for adaptive threshold background separation algorithm. Test image files attached inside.)

拉普拉斯变换是工程数学中常用的一种积分变换，又名拉氏转换。拉氏变换是一个线性变换，可将一个有引数实数t（t≥ 0）的函数转换为一个引数为复数s的函数。(Laplace transform is a commonly used engineering mathematics integral transformation, also known as Laplace Transform. Laplace transform is a linear transform, argument can be a real number t (t ≥ 0) is converted to a function of a complex number s argument of the function.)

这是图像校正程序，matlab运行环境，是我自己编的，可能没那么完美，还要有改进的地方(This is the picture calibration procedures)

atrous NSCT图像融合算法 可直接使用 带有实验测试图(atrous NSCT image fusion )

基于matlab的色差图像分割程序，可以实现复杂背景下的图像分割。(Matlab based on the color image segmentation procedure, the complexity can be achieved in the context of image segmentation.)

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.)