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说明：  通过hough变换求图像中的圆的参数（圆心坐标和半径）(Through the hough transform for image circle parameters (center coordinates and radius))

粒子滤波与PHD多目标跟踪比较，三目标分别进行粒子滤波和marginalPHD滤波跟踪比较结果。(PHD particle filter multi-target tracking compared with the three goals were to filter tracking particle filter and marginalPHD comparison.)

遗传算法/大津法/区域生长法/迭代法分割图像,有详细注释，适合学习(Genetic algorithm/dajin method/area growth method/iteration method image segmentation, and have the detailed notes, suitable for learning )

斯坦福大学概率图模型课程作业，利用马尔科夫随机场进行图像分割，能运行，附有英文说明文档(Stanford University Probability Chart Model Assignment, using Markov random field for image segmentation, operation, with English documentation)

自己曾经做的一个项目，基于几何特征的模式识别。可以有效的识别等边三角形，矩形，六角形 和圆形。 基于c++和OpenCV 编写的程序。是学习OpenCV的好代码。 图像处理&模式识别。(Marksdetection for equilateral triangles,rectangle, regular hexagon, special orthogonal polygons and circles Based on C++ and OpenCV good source code for image processing and mark detection)

一个基于MATLAB环境的图像分割算法，运用最大熵解决图像分割问题。(An image segmentation algorithm based on MATLAB environment is applied to solve the problem of image segmentation using maximum entropy.)

转：https://blog.csdn.net/jinshengtao/article/details/26278725 混合高斯背景建模是基于像素样本统计信息的背景表示方法，利用像素在较长时间内大量样本值的概率密度等统计信息(如模式数量、每个模式的均值和标准差)表示背景，然后使用统计差分(如3σ原则)进行目标像素判断，可以对复杂动态背景进行建模，计算量较大。 在混合高斯背景模型中，认为像素之间的颜色信息互不相关，对各像素点的处理都是相互独立的。对于视频图像中的每一个像素点，其值在序列图像中的变化可看作是不断产生像素值的随机过程，即用高斯分布来描述每个像素点的颜色呈现规律单模态(单峰)，多模态(多峰)(Gaussian mixture background modeling is a background representation method based on the statistical information of pixel samples. Statistical information such as the number of patterns, the mean and standard deviation of each pattern are used to represent the background. Statistical difference (such as 3_principle) is used to judge the target pixel. Complex dynamic background modeling has a large amount of computation. In the Gaussian mixture background model, it is considered that the color information between pixels is uncorrelated and the processing of each pixel is independent of each other. For each pixel in a video image, the change of its value in a sequential image can be seen as a random process that produces pixel values continuously, i.e. Gaussian distribution is used to describe the regularity of color rendering of each pixel in single mode (single peak) and multi-mode (multi-peak).)

基于差值的可逆水印算法源码，及详解说明。还包括一篇英文论文和该作者的一些理解和解释，希望对大家有帮助(Reversible watermarking algorithm based on difference of source code, and the Detailed Description. Also includes an English papers and some of the author' s understanding and interpretation, we hope to help)

脆弱水印的matlab实现 脆弱水印的matlab实现(Fragile watermarking matlab implementation)

内置虑镜功能，包括获取图像的属性，锐化，模糊，浮雕等功能． 可以缩放，优化图片．打开图片带预览功能,使用了gdiplus,能处理gif,bmp,jpg,png图片,处理速度也不错，呵呵,一直找图形格式转换的朋友就不需要东找西找了，它完全可以实现你的需求！ (Built-in lens into account features, including access to the properties of the image, sharpen, blur, emboss and other functions. Can be scaled to optimize picture. Open the image with the preview function, use the gdiplus, can handle gif, bmp, jpg, png images, the processing speed is not bad, huh, huh, graphic format conversion has been looking for friends do not need to look east and west, and it can achieve your needs!)