susan

关于信号分析，小波包分解的程序以及应用方法(The program about signal analysis, wavelet packet decomposition and its application method)

说明：  使用python实现图像的加解密算法，涉及到基于RC4的图像加解密，基于logistic的图像加解密，arnold图像置换，有图像界面，使用QT制作(Using Python to implement image encryption and decryption algorithm involves image encryption and decryption based on RC4, image encryption and decryption based on logistic, Arnold image replacement, image interface, QT production)

说明：  <<数值模拟方法和运动界面追踪>> -刘儒勋 运动界面追踪的经典之作! ( numerical simulation and free surface tracking - Ru-xun liu a classic book!)

s世界计算机视觉三大会议之CVPR会议，中国人发表的经典立体匹配的论文(s World Computer Vision Conference CVPR three meetings, the Chinese classic stereo matching published papers)

使用中值，均值，小波，DCT，PCA五种方法实现对图像的去噪处理。(Five methods, median, mean, wavelet, DCT and PCA, are used to denoise the image.)

适用于小车跟踪和相应的轨迹滤波处理，代码是直接可以调通的(t is suitable for car tracking and corresponding trajectory filtering. The code can be adjusted directly.)

说明：  a）针对合成纹理图像（共有4 个合成纹理图像，见文件夹： Texture_mosaic_data）中每一个像素提取纹理特征向量； b）利用聚类技术（推荐用k‐均值聚类，可以从网上查找原码）对特征向 量空间中的点进行聚类，类别数可根据图像中的实际纹理类数确定。最后把类 属标签映射成图像形式显示（如下图，其中b、d、f、h 为相应的基准分割图像）。(A) for synthetic texture images (there are 4 synthetic texture images in total, see the folder: Texture feature vector is extracted from every pixel in texture; B) use clustering technology (K-means clustering is recommended, and the original code can be found on the Internet) to search the feature direction The number of categories can be determined according to the actual number of texture classes in the image. Last class The generic label is mapped to an image (as shown in the figure below, where B, D, F, h are the corresponding reference segmentation images).)

说明：  二维功率谱密度计算程序 使用傅里叶变换，可以计算功率谱密度(Two dimensional power spectral density calculation program using Fourier transform)

图像处理入门编程 包括动态跟踪和视频处理 有对应的任务指导书(image processing include the mission book)

gabor小波变化的实现，用于数字图像处理中Gabor特征的完全提取。自己项目中已经用到了。(Achieve gabor wavelet transform for digital image processing totally Gabor feature extraction. Himself has used the project.)