GVF

卡尔曼滤波在目标跟踪中应用仿真研究 简要讨论了用Kalman滤波方法对单个目标航迹进行预测，并借助于Matlab仿真工具，对实验的效果进行评估。(Kalman filter target tracking simulation study brief discussion of the Kalman filtering method to predict a single target track, and by means of Matlab simulation tools to evaluate the effect of the experimental.)

图像去噪，小波硬阈值滤波，sym4小波基函数(Image denoising and hard threshold wavelet filtering, sym4 wavelet basis function )

基于kscd算法的合成孔径雷达图像压缩。(Based on kscd algorithm synthetic aperture radar (SAR) image compression.)

图像的纹理特征参数的灰度共生矩阵的计算，该方法效果好，速度快，易理解。(The image texture characteristic parameters GLCM calculation, the method effective, fast, easy to understand.)

说明：  实现车道线检测，运用Hough变换的原理(For the process of lane line detection, this paper first searches for the edge points of the lane line, mainly including image graying, image filtering, image edge enhancement and image binarization. Then the lane line edge line is fitted. This paper uses the Hough transform to perform a straight line fitting.)

CloudViewer （点云可视化软件）是一款面向三维点云数据处理、点云开发专业人员及爱好者的三维点云可视化软件，该软件具备以下功能： 点云 IO。常见点云格式文件（如 ply, pcd 和 obj）的读取、保存、删除清空及可视化。 点云的基本操作。设置点云颜色，合并多个点云，点云格式转换等。 可视化的基本操作。设置视图窗口背景颜色，设置点云的可视化尺寸，设置坐标系的显示，设置视图方位（Main view, Left view, Top view），网格面片显示，网格线框显示等。 模型生成。生成简单立方排布的点云以及基本三维模型，该功能主要用于测试。(CloudViewer uFF08 u70B9 u4E9 u53E u53E3 u5316 u8F6 u4EF0 u0EF6 uFF09 u662F u4E00 u6B3E u972 U4E91 u53E1 u53E1 u3EF3 u7EF3 u7EF3 u3EF0 U5177 u5907 u4E0 u4E0B u529F u80FD uFF1A u70B9 u4E91 i u3002 u5E3 u8C1 u70B9 u4E91 u683C u5F0F u6587 u4EF6 uFF08 u5982 ply, pcd u548C obj uFF09 u7684 U8BFB u53D6 u3001 u4FDD u5B58 u3001 u5220 u9664 u6E05 u7A7A u53CA u53EF u89C6 u5316 u3002 u70B9 u4E9 u7E9 u7684 u57FA u672C u64CD u4F5C u3002 u8BBE u7F6E U70B9 u989 u989.0 u8279 u03109 u03H2 U672C u64CD u4F5C u3002 u8BBE u7F6E u89C6 u56FE u7A97 u53E3 u803 u803 UFF0C u8BBE u7F6E u5750 u6807 u7CFB u7684 u663E u793A uFF0C u8BBE u7F6E u89C6 u56FE u 65B9 u4F4D uFF08Main view, Left view, Top view uFF09 uFF0C u7F51 u683C u973 u7327 u733A u739A u7R3 U751F u6210 u3002 u751F u6210 u7B80 u5355 u7ACB u659B u6392 u5E03 u7E09 U80B0 u4E3B u8981 u7528 u4E8E u6D4B u8BD5 u3002)

通过阈值去噪，最关键的就是要确定最佳阈值T 的大小.如果阈值太小，可以保留更多的小波系数，但同时噪声也被保留；相反，阈值太大，可以消除更多的噪声，但重要图像特征又将被滤掉，引起偏差.目前使用的阈值分为全局阈值和局部阈值.全局阈值对各层所有的小波系数或同一层内的小波系数都是统一的；局部阈值则是根据当前系数周围的局部情况来确定合适的阈值，具有灵活性.(Threshold denoising, the most critical is to determine the optimal threshold T s size. If the threshold is too small, you can retain more of the wavelet coefficients, but the noise was retained the contrary, the threshold is too large, can be eliminatedmore noise, but the important image features in turn be filtered out, causing bias current threshold is divided into a global threshold and local threshold. global Threshold the wavelet coefficients of all the wavelet coefficients of the layers or on the same floorare unity local threshold is based on the local situation of the current coefficient around to determine the appropriate threshold, with flexibility.)

贝特拉米滤波器，能够保持图像的边缘信息，同时对背景进行平滑处理 (beltrami filter, to keep the edge information of the image, while the background is smoothed)

C# 远程打码 实例项目源码

维纳滤波和均值滤波，及利用自适应维纳滤波的图像去噪MATLAB代码，效果优于维纳滤波(Using adaptive Wiener filtering for image denoising MATLAB code, the effect is better than Wiener filtering)