im_denoise

document about computer vision - image processing

C++和halcon结合，用于图形处理时进行三相机标定(C++ and halcon combined for three camera calibration)

在matlab环境下对图像进行处理，运用霍夫变换方法得到图像分割的阈值，并进行圆形的检测(In the matlab environment for image processing, using Hough transform method for image segmentation threshold and for the detection of circular)

用C语言实现最优化算法中的黄金分割法！！(optimization algorithm using c)

图像傅利叶变换源码程序，结合易语言位图操作支持库，通过傅利叶公式的计算变化图像。(Fourier transform image source program , combined with easy language support library bitmap operations , by calculating the Fourier formula change images.)

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.)

本例程序包含OMP、SP、IRLS、CoSaMP等重构算法，比较性能优劣。(The example application consists of OMP, SP, IRLS, CoSaMP reconstruction algorithm, and compare performance advantages and disadvantages. )

对变化的视频序列进行对象追踪,检测边缘图象,对感兴趣的图象进行颜色约束.(Video sequences on the object change tracking, edge detection image, the color of images of interest bound)

在IDL中运行，可以将多光谱、高光谱等多波段影像拆分为为单一波段影像(It works in IDL and it can split multibands into single band)

张量分析(第二版)清晰版—黄克智，一本很好的对张量进行操作的很好的书籍(operation tensor book)