fake_color

利用支持向量机对图像进行分割。特征属性为RGB图像3个通道的亮度。(Using support vector machines for image segmentation. Characteristic properties of three channels of RGB image brightness.)

感兴趣区域提取,已通过实验证其可行性以及实用性(region of interest detect )

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.)

双边滤波，在平滑噪声图像的同时又可保留图像的边缘信息(Bilateral filtering, the noise in the image while smoothing the image edge information can be retained)

MSER算法的实现，功能齐全，思路清晰！值得研究图像处理的人员参考！(MSER algorithm implemented, the function is all ready, clearthinking! )

说明：  掌纹识别代码，对图像预处理和特征提取及匹配(Palmprint identification code, the image preprocessing and feature extraction and matching)

本应用可以将RGB颜色转换为VB专用的十六进制代码或WEB专用的十六进制代码，包含代码和已编译的EXE文件。(This application can convert RGB color to VB for hexadecimal code or WEB for hexadecimal code, contain code and the compiled EXE file. )

用于SAR图像的相干斑抑制，内有增强Lee滤波，增强Kuan滤波，增强GammaMap滤波算法，还有等效视数，边缘保持指数的求法(For speckle suppression of SAR images, there are enhanced Lee filtering, enhanced Kuan filtering, enhanced GammaMap filtering algorithm, and the calculation of ENL and EPI.)

这是我们自己做的一套投影仪标定程序，反投影精度在1个象素之内(This is to do our own set of projector calibration procedures, back-projection at a pixel accuracy of)

基于马尔科夫随机场的，例子学习超分辨率复原代码。(This is an implementation of the example-based super-resolution algorithm. Although the applications of MSFs have now extended beyond example-based super resolution and texture synthesis, it is still of great value to revisit this problem, especially to share the source code and examplar images with the research community. We hope that this software package can help to understand Markov random fields for low-level vision, and to create benchmark for super-resolution algorithms.)