Bilateral-Filtering-master

医疗图像分割，GUI，可视化,能够实现对医疗图像感兴趣区域分割，GUI显示，三维可视化(Medical image segmentation, GUI, visualization)

1.首先从文件菜单打开程序目录下的car.avi视频,系统将显示视频的第一帧。 2.点击背景提取菜单，稍后会提取出背景并显示在打开的第二个窗口中。 3.当提取出背景后，点击检测跟踪菜单，对车辆进行检测和跟踪。 4.点击轨迹绘制菜单，绘制车辆的轨迹。 注：由于使用OpenCV打开AVI视频文件需要视频解码器，故在程序运行前请在电脑上先安装DivX类型的的视频解码器，否则将出现无法打开文件的错误。本程序使用的是OpenCV2.1版本，在没有安装此版本软件的机器上运行时需要将cv210.dll,cvaux210.dll,cvcore210.dll,highgui210.dll,ml210.dll这五个文件拷贝至*.exe可执行文件下。(First, open the CR. AVI video from the file menu and the system will display the first frame of the video. 2. Click on the Background extract menu and the background will be extracted later and displayed in the open second window. 3. When the background is extracted, click on the Test Tracking menu to test and track the vehicle. 4. Click on the trajectory drawing menu to map the trajectory of the vehicle. Note: Since a video decoder is required to open an AVI video file using OpenCV, install a DivX-type video decoder on the computer before the program runs, otherwise an error will occur that can not open the file. The program uses OpenCV2 .1, which requires five files to be copied to *, cv210. DLL, cvaux 210. DLL, cvcore 210. DLL, highgui 210. DLL, ML 210. DLL. Exe under executable.)

经典CT图像处理算法，卷积反投影算法,欢迎使用(Classical CT image processing algorithm, convolution inverse projection algorithm)

说明：  机器视觉中三维重建的源码 具体包括4个文件，其中.c文件用于产生图像特征点矩阵(In the three-dimensional reconstruction process, resulting in the source image feature dot matrix)

Adaboost训练分类器的源代码，是快速人脸检测的必备。(It is the code for training classifiers by Adaboost to Face Detection)

PCB板检测的大概流程如下：首先存储一个标准PCB板图像作为参考标准，然后将待检测的PCB板图像进行处理，比较与标准PCB图像的差异。根据差异的情况来判断缺陷类型。(The approximate process of PCB board detection is as follows: first, a standard PCB board image is stored as a reference standard, and then the PCB board image to be detected is processed to compare the difference between the standard PCB image and the standard image. The type of defect is judged according to the difference.)

Matlab入门级图像处理程序 低通滤波器对受噪声干扰的图像进行平滑处理,(Matlab entry-level image processing low-pass filter to smooth the image by noise,)

一种快速的图像拐点的matlab程序，在一张图像上用9点快速检测，要求被处理图像为2值图像。(a fast image inflection point of Matlab procedures, in an image with 9:00 rapid detection, Image processing was required for two binary images.)

fast RPCA背景检测,较为经典的一种算法，亲测可用(fast rpca method for background selection)

提出一种新的基于分支结构特征的视网膜图像配准方法，此算法可降低误匹配的点。能够应用到其他图像配准中，形成良好的等级结构。(Feature-Based Retinal ImageRegistration Using Bifurcation Structures)