targettrackingusingkalman

vtk的球与刺球的例子, 对于初学者十分有用，希望帮助大家(the example of vtk hope help you)

1、运动目标进行检测与跟踪，背景差分法，卡尔曼滤波，检测结果用红色外接矩形框表示，跟踪结果用绿色矩形框表示 2、采用平均背景法更新背景图像； 3、代码部分附详细解释(1. The moving target in the video sequence is detected and tracked, the moving target detection part uses the background difference method, the tracking part uses Calman filter, the detection result is represented by the red outer rectangle frame, and the tracking result is expressed in green rectangle frame. 2. The background image is updated with the average background method. 3. The part of the code is explained in detail)

说明：  左右圆偏振光的推导公式，与处理结果。传统意义上根据界面曲率的不同，对于确定的透镜，其正极性或负极性是确定了的。但根据等离子体天线方向角的改变，透镜的部分极性也随之改变，换言之，同一透镜中正负极性均存在且可控制。(Derivation formula and processing results of left and right circularly polarized light)

irrilicht开源引擎，用于windows，mac等各个平台的图像开发(irrilicht engine， it‘s opensource)

CxVision V0.05 源代码 智能机器视觉系统 0.05版本源代码（Euresys版本） 这是视觉智能的开始，应用于众多大型工业检测环境，多线程对相机多轴运动控制系统，针对当前最先进的智能视觉系统的一个雏形 当前版本是基于Euresys稳定的工业检测工具上的开源 此后版本 CxVision拥有了更多更强大的自主核心系统功能和核心算法 是现代智能视觉的领航系统 更多智能CxVision 搜索CxVision QQ群一起分享CxVision的发展和进步(CxVision V0.05 source code version of intelligent machine vision systems 0.05 source code (Euresys version) This is the beginning of visual intelligence, used in many large industrial inspection environments, multi-threaded multi-axis motion control system of the camera, for the most advanced intelligent vision The current version of a prototype system is based on Euresys stable industrial detection tools on the open source version of CxVision have more then a more powerful independent core functions and core algorithm is the vision of modern intelligent navigation systems more intelligent CxVision search CxVision QQ group to share the development and progress CxVision)

小波分辨边缘，但是要自己加工一下。可以读取RGB转化为灰度图像。(Wavelet-resolved edge, but to look at their own processing. RGB can be read into a gray image.)

说明：  图像的卡通纹理分解，适用于灰度图像，运行速度较快(The cartoon texture decomposition of image is suitable for grayscale image and runs fast)

基于Tensorflow的Unet实现，里面有详细的教程。(TensorFlow for Unet, in which there are detailed teaching lecture.)

说明：  运用小波变换将图像从空间域转换到频率域，自己写的代码，欢迎讨论学习(Using wavelet transform to transform image from spatial domain to frequency domain)

说明：  以中心图像为模板，将其他八张图映射到模板中，然后粘贴到对应位置完成拼接(Take the center image as the template, map the other eight images to the template, and paste them to the corresponding position to complete the splicing)