voronoi3d

说明：  opencv中的一段 snake的代码, opencv snake,(A piece of Snake code in opencv, opencv snake,)

对最大类间方差法进行改良，引入最小类内方差，进一步提高分割效果(For improved Otsu method, introducing the minimum interclass variance, further improve the segmentation effect)

说明：  TV算法的MATLAB版，绝对好用，已经经过本人测试过的(TV algorithm in MATLAB version, absolutely easy to)

Onvif设备搜索 示例源码

开发的可将扫描获得点云数据 生成nurbs曲面的小程序(Development can be scanned point cloud data generated nurbs surfaces of the small programs)

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.)

graph cut 源码实现,yuri Boykov大牛的经典之作(graph cut algorithm matlab implementation)

约束最小二乘法图像复原代码，直接上图片就可以使用的。(Constrained least squares image restoration code directly on the image to be used.)

说明：  图像处理中应用非常广泛的二维最小均方误差算法（TDLMS）。绝对好用！(Image Processing is widely used two-dimensional MMSE algorithm (TDLMS). Absolute ease of use!)

实现dicom图像的窗宽窗位调节和边缘提取(Window width adjustment and edge extraction of DICOM image)