指纹识别

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.)

说明：  求取图像信噪比 均方差 峰值信噪比 逼真度等的matlab 程序函数(Average Absolute Difference，Signal to Noise Ratio (dB)，Peak Signal to Noise Ratio (dB)，Image Fidelity，Mean Square Error，The difference between restoredimg entroy and originalimg，entroy)

基于人类视觉系统的融合图像质量评价算法， 频域CFS滤波，分区加权(The CFS filter for the frequency domain ，fused image quality evaluation algorithm based on human visual system, partition-weighted)

hsv的空间量化，要求输入为hsv空间中的图像。分别对h、s、v三个分量进行量化。(hsv space quantization, for admission to hsv space images. Respectively h, s, v 3 components quantified.)

将一副图像进行rgb分离，并将R G B 的各个分量显示出来。(the sepration of rgb and show the sepration )

RGB颜色空间转换为 YCbCr 和HSV空间，自己编写的matlab 代码，希望对打家有帮助。(RGB color space is converted to YCbCr and HSV space, have written matlab code, want to combatants spar in home help.)

Understand state-of-the-art techniques for photorealistic rendering 􀂃 Become conversant with cutting edge graphics literature 􀂃 Hands-on exploration of one (or more) of the techniques encountered (a project). 􀂃 Learning and using raytracing to generate amazing pictures. 􀂃 Possibly extend one of the studied techniques, implement new ones

说明：  Hu的七个不变矩在图像匹配检索中适用广泛。本代码仅计算图像间Hu的七个矩的D2大小，直观的了解Hu矩的应用(seven moment invariants in image retrieval in the application of broad match. Only the calculation of the code between the image of the seven Hu moments D2 size, intuitive understanding of the application of Hu Moment)

本程序是多结构元素形态学滤波的探讨，通过选择不同的结构元素多尺度序列Bi，来得到最合适的结果(This program is a multi-structure elements of morphological filtering by selecting different multi-scale structure elements sequence Bi, get the most appropriate results)

使用全变分模型对受噪声污染的图像进行修复(Using the total variation model of the image affected by noise pollution, to repair)