Blood_Vessel_Extraction

说明：  选择一张灰度图片，添加高斯噪声并进行双边滤波(Select a gray image, add Gaussian noise and perform bilateral filtering)

说明：  均值、高斯、中值三种基本的滤波方法与噪声模型(Mean, Gaussian and median filtering methods and noise model)

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.)

moravec算子提取特征点，然后用相关度进行匹配(moravec operator feature point extraction, and then match the correlation)

图像倒频谱生成并分析，可以用于运动模糊图像的PSF参数估计(Cepstrum image generation and analysis, can be used for motion-blurred image PSF parameter estimation)

可以在程式畫面上任意畫圖寫字並且可清除再任意使用(Can any drawing program screens and write and to clear any longer use)

用基于稀疏表示和KSVD字典学习去噪方法在对数域对SAR图像抑斑，本方法相对于一些经典的SAR图像抑斑方法，抑斑效果大大提高。(Based on the sparse representation and KSVD dictionary learning denoising method in the logarithmic domain，we despeckle SAR image, compared with some of the classic SAR image speckle suppression method, this method is much more effective.)

说明：  此算法使用于单波段或者多波段图像中的非监督异常检测，性能很好~(The algorithm used in single-band or multi-band image unsupervised anomaly detection, performance very good ~)

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

运用在fluent中的udf，解决边界正弦运动的情况，非常珍贵(Border harmonic vibration UDF, use them in fluent, very precious resource)