jiansuo

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.)

高动态图像(HDR)合成算法，多曝光图像的配准算法(High dynamic image (HDR) synthesis algorithm, multi-exposure image registration algorithm)

很好的倒频谱计算程序，可立即生成图形，方便读者理解运用。(very good。)

图像 自动 标注 通过分析 训练集 ，学习 图像 和标注词 之间的关系，得出 之间的关系，得出 一些规则， 然后使用这些规则 自动 推导出 图像 最适合的标注词 ，这些标注词代表了图像的 ，这些标注词代表了图像的 高层 语义信息 。(Automatic image annotation by analyzing the training set, learning image and mark the relationship between words, the relationship between the draw, draw some rules, and then use these rules to automatically derive the most suitable image annotation words, these words represent the image annotation , these words represent the image annotation level semantic information.)

程序代码说明 P0401：用Prewitt算子检测图像的边缘 P0402：用不同σ值的LoG算子检测图像的边缘 P0403：用Canny算子检测图像的边缘 P0404：图像的阈值分割 P0405：用水线阈值法分割图像 P0406：对矩阵进行四叉树分解 P0407：将图像分为文字和非文字的两个类别 P0408：形态学梯度检测二值图像的边缘 P0409：形态学实例——从PCB图像中删除所有电流线，仅保留芯片对象(Program code description P0401: Detects the edge of an image with the Prewitt operator P0402: LoG operator with different σ values is used to detect the edge of the image P0403: Detects the edge of an image with the Canny operator P0404: Threshold segmentation of the image P0405: Image segmentation using watermark threshold method P0406: Quadtree decomposition of the matrix P0407: The image is divided into text and non-text of the two categories P0408: Morphological gradient detects the edge of a binary image P0409: Morphology Example- Deletes all current lines the PCB image, leaving only the chip object)

图像处理功能：求the MSE/SNR/PSNR and the quantized image( the MSE/SNR/PSNR and the quantized image)

TV模型用于图像修复，能够实现较好的图像修复效果，是基于偏微分方程的方法(TV model for image restoration, and to achieve better image restoration effect is a method based on partial differential equations)

对于智能天线的设计仿真 包含有详细的说明,不错的源码(For the design of the smart antenna simulation contains detailed instructions, good source)

说明：  《视觉SLAM十四讲》高翔，完整版，前10章。对视觉定位，机器学习，深度学习有很大帮助(Gao Xiang, the complete version of vision slam 14 lectures, is very helpful for vision positioning, machine learning and deep learning)

说明：  经典的KSVD图像字典学习，matlab 代码，有注释，亲测可用(The classic KSVD image dictionary learning, matlab code, include notes, test available)