reticorr1

评价图像边界的好坏，FOM值越趋于1质量越好。(figure of merit to objectively evaluate the performance of edge detectors)

harris, harris-laplace方法，特征点检测方法总结(harris, harris-laplace method, Feature Point Detection Methods)

说明：  摄像头条形码识别，可以发送命令识别后，展示识别码质量(ShopSavvy Barcode Scanner)

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.)

insar图像数据，envisat卫星单视复数数据，可在matlab中直接打开(insar data, envisat single look complex data, which can be opened directly in matlab)

本代码开发环境为Halcon，主要用于线结构光法提取光条中心！(The code development environment for Halcon, mainly used for line structured light extraction of the light strip center!)

说明：  实现目标检测的代码，有例程视频，可以运行(Achieve target detection code, there are routine video, you can run)

matlab提取图像的纹理特征，包括方差、熵、角二阶矩等特征。(matlab extract the texture features, including variance, entropy, angular second moment and other features.)

功能：去模糊/去马赛克 A joint demosaicking-zooming scheme for single chip digital color cameras(2007)论文以及源码(Function: to blur/demosaicing A joint demosaicking-zooming scheme for single chip digital color cameras (2007) paper and source code)

利用改进的Sobel算子检测图像边缘,从水平、垂直、左右对角线的方向计算Sobel梯度，并且加入拐角的梯度值。(The improved Sobel edge detection operator, horizontal, vertical, left and right diagonal direction Sobel gradient calculation, and adding the value of the gradient of the corner.)