KmeansPP

本程序是用似然比检验的方法进行profile中的变点检测(This procedure is used likelihood ratio test method of change point detection profile)

VapourSynth-BM3D-master BM3D算法的原创代码，运行速度超快，参考文献《Image Denoising by Sparse 3-D Transform-Domain Collaborative Filtering》(VapourSynth-BM3D-master BM3D original algorithm code, run super-fast, Reference " Image Denoising by Sparse 3-D Transform-Domain Collaborative Filtering" )

可用于视频目标检测中背景生成的混合高斯模型(Can be used for video object detection in the context of generating a mixture of Gaussian model)

本文设计了一套指纹图像预处理和指纹特征提取算法, 利用方向滤波的方法对原始图像进行增强,使用改进的细化算法进行细化, 最后基于脊线跟踪的方法, 用改进的算法更为简洁而有效地避免了各种伪特征。设计的算法经Matlab 实现, 实验效果良好。(Designed a fingerprint image and fingerprint feature extraction algorithm using directional filtering the original image enhancement, improved thinning algorithm refinement, the last ridge line tracking method, the improved algorithm is more simple and effective way to avoid the pseudo-characteristic. Design algorithm with Matlab, the experiment well.)

学习使用OpenCV，对输入的一段彩色视频，用OpenCV实现以下功能或要求: 1. 对输入视频的每一帧图像都用同一个阈值进行二值化； 2.在每帧二值化图像上叠加上含自己学号与姓名等信息的版权字幕； 3. 在处理的过程中，实时显示每帧图片处理之后的效果； 4.将所有这些二值化图像按视频原来顺序合成输出一个视频文件，按原输入视频播放速度的两倍合成； 5. 做成如下的命令行格式，xxx.exe 输入视频文件名 二值化阈值 输出视频文件名（例如 MyBiVideo.exe input.avi 50 output.avi ） 这里的二值化有两种选择，可以手动收入阈值，也可以直接用OTSU算法的较优阈值直接二值化。(Learn to use OpenCV, for some color video input, with the OpenCV following functions or requirements: 1. Each frame of the input video images are binarized using the same threshold value 2. superposed on the binarized image of each frame containing the copyright on the number and the name of their own learning subtitles other information 3. During processing, real-time display after processing each frame 4. All of these binarized image by synthesizing the video output of a video sequence of the original document, the original input composite video playback speed twice 5. made the following command line format, xxx.exe input video file name binary threshold value of the output video file name (eg MyBiVideo.exe input.avi 50 output.avi) Here there are two binary choice, you can manually income thresholds, you can directly use the optimum direct binarization threshold through OTSU algorithm.)

常见的几种去噪方法，维纳滤波器，均值滤波各种滤波(Extension of Phase Correlation to Subpixel Registration %Implementation of: % Extension of Phase Correlation to Subpixel Registration)

说明：  对边缘图像作hough变换，从峰值中恢复出车道线(Right edge of the image for hough transform, recovered from a peak in the lane)

梯度矢量扩散控制实现边缘保持的彩色图像去噪(Gradient vector diffusion denoising realize control color image edge preserving )

【实例简介】

卡夫曼算法，目标跟踪，可预测。简单算法，我在后面增加了汉语注释，方便初学者了解。(Target tracking using kalman，using this matlab program, you can see a ball tracked with a lable.)