FOAGSD2

说明：  按照最邻近原则把待分类样本点分到各个簇。然后按平均法重新计算各个簇的质心，从而确定新的簇心。一直迭代，直到簇心的移动距离小于某个给定的值。(According to the nearest neighbor principle, the sample points to be classified are divided into clusters. Then the centroid of each cluster is recalculated according to the average method to determine the new cluster center. Iterate until the moving distance of the cluster center is less than a given value)

基于Matlab软件编程实现MC算法对人体脑部MRI图像进行面绘制三维重建；利用三维旋转变换和动画函数对脑部图形进行动画显示(Based on Matlab software programming realize MC algorithm on human brain MRI images drawn face 3 d reconstruction Use of 3 d rotation transformation and animation of brain function graph animation display)

最新版完整模拟QQ截屏的VB源代码，支持截图编辑（可以再截图中画矩形、椎园、文本、箭头）；带撤销，重做功能，可以说一点都不比QQ截屏逊色！(The latest version integrity imitates a QQ piece the VB source for hold a code and support cuts diagram editor (can cut again in the diagram draw rectangle, Zhui park, text originally, arrowhead)Take to cancel, do over function, can say at 1:00 an all unlike QQ piece to hold inferior to!)

说明：  小波变换，主要功能是实现图像纹理的提取。(Wavelet transform, the main function is to achieve the extraction of image texture.)

求信噪比的MATLAB源代码 很实用的函数(Signal to noise ratio for the MATLAB source code is very useful function)

IEEE PAMI上一篇著名的Image Inpainting 算法MATLAB实现(Matlab implementation for a notable paper published on IEEE PAMI)

做图像轮廓提取的应该都听说果GVF这个概念，也难免有没听过的，不过可以看看这个程序(Does the image contour extraction of GVF should have heard the concept of fruit, but also inevitably have heard, but can look at this process)

matlab code for processing of signals and images

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)

用Matlab产生正弦波,矩形波,以及白噪声信号，并显示各自时域波形图 2．进行FFT变换，显示各自频谱图，其中采样率，频率、数据长度自选 3．做出上述三种信号的均方根图谱,功率图谱,以及对数均方根图谱 4．用IFFT傅立叶反变换恢复信号，并显示恢复的正弦信号时域波形图 (Using Matlab generated sine wave, rectangular wave, as well as the white noise signal, and display their respective time-domain waveform of Figure 2. FFT to transform, showing their frequency spectrum, including sampling rate, frequency, data length of 3-on-demand. Make the rms signal of the three maps, power maps, as well as the number of root-mean-square map 4. Fourier Transform IFFT with the restoration of signals, and displays the sinusoidal signal the resumption of time-domain waveform)