QRSdetection

一篇关于光声成像的图像重建算法研究，开发工具为matlab，罗列了很多理论知识(A photoacoustic imaging of image reconstruction algorithms, development tools matlab, listed a lot of theoretical knowledge )

说明：  利用其中不同的光谱匹配算法实现光谱匹配，内部还含有相关数据(Using different spectral matching algorithms to achieve spectral matching, there are also relevant data inside)

这份代码是使用haar+adoboost做人脸检测用的，文件中还包括其他的特征选择，特征提取的算法，对于想做人脸检测这一块的朋友，可以下载来研究。(This code is used haar+adoboost human face detection, the document also includes other feature selection, feature extraction algorithm for face detection which one wants a friend, you can download to study.)

实现landsat处理，有兴趣的可以下载(Implementing Landsat processing)

图像拼接，这是个图像拼接，还能说什么呢我的天是不是傻要字数限制(image fusion i have to think something to explain how to congraduation this website)

高阶频谱分析工具箱，老外写的代码，可以用来做实验(High-order spectral analysis toolbox, a foreigner writing code that can be used to experiment)

说明：  EM算法是最为经典的统计图像分割方法，代码基于matlab，使用EM算法实现图像分割,源代码加实例图像，非常好用(By using EM algrithm to realize the segementation of image)

一些matlab图像图像处理例程,骨架,灰度图像梯度,凸壳,细化.(Some image image processing matlab routines, skeleton, grayscale gradient, convex hull, thinning.)

图像处理中经常需要检测圆形状的物体，该程序用霍夫变换可以检测圆的圆心和半径。(Image processing often requires detection of a round-shaped objects, the program can detect the use of Hough transform and radius of the center circle.)

提出了一种基于非下采样Contourlet 变换的自适应图像去噪方法 首先对噪声图像进行非下采样Contourlet 变换，得到各 个尺度各个方向子带的系数，再根据该系数的能量自适应地调整去噪阈值 实验表明，与Contourlet 多尺度阈值去噪 Contourlet 自 适应阈值去噪相比，该方法在保留图像边缘细节的同时，能提高图像的PSNR 值，减少了Gibbs 现象(A new adaptive method of image de-noising based on NonSubsampled Contourlet Transform （NSCT）is presented.Firstly， the noisy image is decomposed into a set of multiscale and multidirectional frequency subbands by NSCT， and then the threshold is adapted automatically according to the energy of subband coefficients.Compared with the multi-scale threshold using contourlet transform and using adaptive threshold based on contourlet transform， the simulation results show that the performance of this method is superior in PSNR， meanwhile it can maintain the image edge and reduce the Gibbs phenomen)