QR

说明：  在VC++下基于MRF来进行的图像分割源代码(In VC++ For MRF-based image segmentation source code)

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.)

说明：  matlab的几种小波阈值去噪方法实例。包括固定阈值，Rigrsure阈值，启发式阈值等。(Matlab several wavelet threshold denoising method instance. Fixed threshold, the Rigrsure threshold heuristic threshold.)

基于DCT域音频水印完整源代码，包括水印图像的预处理（二维二值图像Arnold变换、混沌加密、降维），水印的嵌入提取以及检测，信噪比和相似性系数。(Based on the the DCT domain audio watermarking complete source code, including the watermark image preprocessing (two-dimensional binary images Arnold transform chaotic encryption, dimensionality reduction), the embedded watermark extraction and detection, signal-to-noise ratio and similarity coefficient.)

计算matlab自带米粒图像的米粒个数和面积的代码，适合图像处理的初学者(Calculate the matlab code number and area of ​ ​ its own grain of rice image of a grain of rice, for image processing beginners)

document about computer vision - image processing

RMSHE算法（recursive mean-separate histogram equalization）。基本原理是将图像根据平均灰度进行分割，各部分分别进行直方图均衡。文件中包含RMSHE的matlab源代码，论文，以及输入图像(RMSHE algorithm (recursive mean-separate histogram equalization). The basic principle is that the image based on the average gray-scale is divided, each part respectively histogram equalization. File contains RMSHE matlab source code, papers, as well as the input image)

用python实现图像的LBP特征提取，参数可以自己修改。(Get a LBP image original binary image with python.)

用于求取灰度图光斑的中心，可以用于寻找光斑图像的中心，如激光光斑，(Used to strike a grayscale facula center spot can be used to find the center of the image, such as the laser spot,)

小波分析在图像处理中有非常重要的应用，包括图像压缩，图像去噪，图像融合，图像分解，图像增强等。文中给出了详细的程序范例，用MATLAB实现了基于小波变换的图像处理。(Wavelet analysis in image processing has very important applications, including image compression, image denoising, image fusion, image decomposition, image enhancement. The paper gives detailed procedures for example, implemented with the MATLAB image processing based on wavelet transform.)