Z源逆变器的开路三相SVPWM调制

可以计算mtf，使用matlab输入图像即可实现计算(You can calculate MTF and use matlab to input images.)

对两幅遥感图像进行变化监测，先求得差值图像，然后用FCM聚类方法分成变化类和不变类(On two remote sensing image change detection, the first difference image is obtained, then FCM clustering into the same category and class changes)

说明：  能将256色图像转换为黑白图像，程序简单易行，适合初学VC者练笔。(Able to convert 256-color image black and white images, the program is simple, suitable for beginners who Lianbi VC.)

主要是利用对比增强来处理图像 利用了模糊集以及模糊熵理论 (The main use of contrast enhancement to the image processing using fuzzy sets and fuzzy entropy theory )

基于matlab实现干涉显微镜图像重构中的二维解包裹函数。( QualityGuidedUnwrap2D implements 2D quality guided path following phase unwrapping algorithm. Inputs: 1. Complex image in .mat double format 2. Binary mask (optional) Outputs: 1. Unwrapped phase image 2. Phase quality map This code can easily be extended for 3D phase unwrapping. Technique adapted from: D. C. Ghiglia and M. D. Pritt, Two-Dimensional Phase Unwrapping: Theory, Algorithms and Software. New York: Wiley-Interscience, 1998. Posted by Bruce Spottiswoode on 22 December 2008 2010/07/23 Modified by Carey Smith)

数字图像邻域平均法去噪的实现(包括有Ｍ文件和图像)(neighborhood Digital Image Denoising the average realized (including M documents and images))

说明：  单目视觉中的位姿估算代码，基于正交迭代的OI算法，含有主程序和test代码，test代码可以看到位姿估算解的精度(Monocular vision pose estimation code, orthogonal iterative algorithm based OI, containing the main program and test the code, test code can see the accuracy of pose estimation Solutions)

说明：  本程序基于MFC，VS2010编写，是一款可以打开任意视频格式的播放器，具有打开视频（任意格式，avi，mp4, rmvb,asf,avi,mpeg等）， 具有快进，快退，暂停，播放，上一帧，下一帧，截图，拍照，快速播放慢速播放功能，同时提供图像处理功能（视频图像增强，视频图像去雾，海上目标检测功能）。(This program is based on MFC, VS2010. It is a player that can open any video format. It has open video (arbitrary format, avi, mp4, rmvb, asf, avi, mpeg, etc.). It has the functions of fast forward, fast backward, pause, playback, last frame, next frame, screenshot, photograph, fast playback and slow playback. It also provides image processing functions (video image enhancement, video image defogging, sea target detection).)

说明：  用labview实现图像的二值化，通过把图片转化为二维数组，通过和阈值比较把图像二值化(Achieved with labview binary image by the image into a two-dimensional array, and the threshold value by comparison to image binarization)

cvpr2012_oral On Multiple Foreground Cosegmentation(In this paper, we address a challenging image segmentation problem called multiple foreground cosegmentation (MFC), which concerns a realistic scenario in general Webuser photo sets where a finite number of K foregrounds of interest repeatedly occur over the entire photo set, but only an unknown subset of them is presented in each image. This contrasts the classical cosegmentation problem dealt with by most existing algorithms, which assume a much simpler but less realistic setting where the same set of foregrounds recurs in every image. We propose a novel optimization method for MFC, which makes no assumption on foreground configurations and does not suffer from the aforementioned limitation, while still leverages all the benefits of having co-occurring or (partially) recurring contents across images. Our method builds on an iterative scheme that alternates between a foreground modeling module and a region assignment module, both highly efficient and scalable. In part)