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一个作业,用matlab实现指纹识别，做得不好，惭愧(an operation using Matlab achieve fingerprint identification, is not done properly ashamed)

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.)

拉普拉斯变换的源代码，适合做图像处理及其他使用，有启发作用。(Laplace transform of the source code, suitable for image processing and other use, stimulating.)

小波包对信号的分解与重构在matlab中的应用，以及能量，频率(Wavelet packet decomposition and reconstruction of the signal in the application of matlab, and energy, frequency)

对图像进行二维离散小波变换, 变换级数大于等于3级,然后进行阈值化处理(阈值约为10左右),再统计系数中0的个数（百分比表示）并进行重构, 最后计算重构图像的峰值信噪比(PSNR). (Two-dimensional discrete wavelet transform image transformed series is greater than or equal to 3, and then processing thresholding (threshold of about 10 or so), then statistical coefficient in the number (expressed as a percentage) and to reconstruct the final calculation reconstructed image of the peak signal-to-noise ratio (PSNR).)

说明：  图像配准SIFT算法,使用python实现（github搬运）(image resigtration sift)

Walsh变换在图像处理是一种非常重要的工具，在图像处理中和radon变换和hough变换都是非常重要的(Walsh transform in image processing is a very important tool, in Image Processing and radon transform and hough transform is very important)

用于灰度图像二值化的MATLAB代码，算法采用迭代法(For gray-scale image binarization MATLAB code, algorithm uses iterative method)

改进的图像拼接算法，基于sift算法，实现图像的自动拼接，测试，完美运行(Improved image mosaic algorithm based the sift algorithm to achieve automatic image stitching, test, run perfectly)

说明：  模式识别与图像处理，图像的边缘处理，增强(Pattern recognition and image processing, image edge processing, to enhance)