CVPR12_SAS_code

快速TV算法用于图像去模糊、图像去噪等，其中TV模式包括两种(TV went fast algorithm for image blur, image denoising, which includes two TV mode)

说明：  基于radon正反变换的抛物线型多次波去除(Removal of parabolic multiple waves based on Radon transform)

三个程序实现目标检测结果的评估，包括ROC曲线，AP值,Fmeasure的计算。(Three procedures are used to evaluate the results of target detection, including ROC curves, AP values, and Fmeasure calculations.)

matlab序贯相似性检测算法源代码。比模板相似性检测算法高效。(Sequential similarity detection algorithm matlab source code.Than template similarity detection algorithm is efficient.)

卡尔曼滤波源代码 Some brief notes ---------------- kfdemo.m is a Matlab script file to run a demonstration of the Bayesian Kalman filter. It loads file kfdemo.mat (saved as version 4 so that it will read in either v4 or v5 Matlab). The other files are called by kf.m (the Kalman filter) or included as they may be useful. Normalis.m normalises data to zero-mean, unit variance along components. I always do this before any further analysis. Steve Roberts 7-2-98 (Kalman filter source code Some brief notes kfdemo.m is a Matlab script file to run a demonstration of theBayesian Kalman filter. It loads file kfdemo.mat (saved as version 4so that it will read in either v4 or v5 Matlab). The other files are called by kf.m (the Kalman filter) or includedas they may be useful. Normalis.m normalises data to zero-mean, unit variance along components. I always do this before any furtheranalysis.Steve Roberts 7-2-98)

批量图片合并源码

计算图像的平均梯度，边缘强度，信息熵以及方差，图像质量评价(The average gradient calculation image, edge strength, entropy and variance, image quality assessment)

图像处理matlab程序的源代码。包括图像的高通滤波和掩模处理，图像的阈值分割等。(MATLAB image )

完成了对光伏发电并网控制的设计及仿真。系统采用了两级式拓扑结构：前级用直流变换器进行最大功率跟踪及直流母线电压调整；后级用逆变器将直流电能逆变送入电网。(Completed the design and simulation of photovoltaic grid-connected control. The system adopts a two-stage topology: the front stage uses a DC converter for maximum power tracking and DC bus voltage adjustment; the latter stage uses an inverter to send DC power into the grid.)

基于象素的图像配准程序,要配准的两幅图像,通过多对对控制点来配对(Pixel-based image registration procedures are based on the registration of two images, through a multi-right right control point to the matching)