FCRN-DepthPrediction-MATLAB

利用DOA和TOA对运动辐射源的单舰无源定位(Using a single passive location DOA and TOA ship moving emitter)

用VC++实现给定位图的镜像，使用图像处理技术(with VC plans to mirror positioning, the use of image processing technology)

提取图像的lbp纹理特征，然后进行向量表示( Lbp extracted texture features of the image, and then vector representation)

能够计算傅里叶描述子，并对图像进行重构，实现对目标图像和源图像的辨认(Fourier descriptors can be calculated, and the image reconstruction, image and the source image to target identification)

可以实现Ransac拟合直线和椭圆，很方便，可以直接用。(Can be achieved Ransac fitting a straight line and ellipse, very convenient, and can be directly used.)

G测地活动轮廓模型的代码，是基于图像的梯度信息进行处理的，属于水平集范畴(Measured the active contour model code is based on the gradient of the image information processing, belonging to the scope of the level set)

在学习了数字信号处理、信号与系统、建模与仿真及其医学应用等课程的基础上， 学习一类典型的生物医学信号--脑电的测取、FFT 频谱分析、以及应用数字滤波方法提 取脑电的频带（8－13Hz）信号及其特性分析。(Epilepsy section of the brain wave extraction and analysis of characteristics of the course design report )

集成ITK、VTK、MFC读取DICOM的代码，建成win32程序即可。运行完美(Integrated ITK, VTK, MFC to read DICOM code, built win32 program can. Works perfect)

用来将一个指纹图片切成指定像素大小的片段，并将计算他的方向场和系数(Used to cut a fingerprint image into the specified pixel size pieces, and calculates the direction of the field and the coefficient )

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.)