matlab

一个非常有用的超像素算法，用于图像分割,文件夹包含文章,采用matlab和c混编(a very useful superpixels algorithm，can be used for image segmentation,the file contatins paper,the matlab and c are mixed for exeution)

数字图像处理，图像质量评价指标，matlab 计算图像峰值信噪比(Calculation of peak signal to noise ratio)

c#下实现图像颜色k均值聚类 将像素点颜色分类并合并(c# implementation of color image k-means clustering to classification of color pixels and merge)

对交通车辆 进行检测通过matlab 设计仿真、包过开运算 闭运算、(Vehicle detection for traffic simulation by matlab design, including closing operation over open operation,)

此程序可以帮助您管理以及排版您的图片集，效果美观(This program helps you to manage and typeset your photo collections with beautiful results)

这本是用VC++来实现图像处理的书藉,对于学习图像处理的来说是非常有用的.(This is VC++ to realize image processing books, for learning image processing is very useful.)

说明：  基于力场分布的图像处理源程序。包括基于力场的图像分割、边缘检测等。(Distribution of image processing based on force field source. Include force field-based image segmentation, edge detection.)

三帧差分法，绝对可用，matlab实现，里面有视频和结果图。如果程序出错误，可用先把result.avi删除，在做测试、(Three difference method, absolutely free, matlab realize, there are videos and results map. If the program is an error that can be used to delete first result.avi while doing the test,)

Google Doodle推出了一款极其炫酷的LOGO，整个LOGO使用了CSS Sprite技术，利用一个初始图片和一张画满各个动作的拼接图片，实现了动画，而非传统的GIF动画图像(Google Doodle launched a very cool LOGO, LOGO using CSS Sprite entire technology, the use of an initial picture and a painting full picture stitching each action to achieve the animation, instead of the traditional animated GIF images)

说明：  在这个知识库中，图形信号处理的一些有趣的特性被表示出来。演示通过经典信号处理和图形信号处理对一维和二维欧几里得域信号应用低通滤波器，比较两种方法的结果。在此基础上，验证了图形信号处理的工作机制。此外，还描述了在非欧几里得域上滤波信号的示例。(In this repository, Some fascinating features of Graph Signal Processing were represented. Demos incudes applying a low-pass filter on both 1D and 2D euclidian domain signal by classical signal processing and also Graph signal processing to compare both results are the same. Within that way, we will validate the working mechanism of Graph Signal Processing. In addition to this, an example of filtering a signal on the non-euclidian domain was also represented.)