ffdct

说明：  在大图中寻找到小图。 并圈出小图所在位置。 图片用picture控件显示。(In the big picture to find a small map. )

bezier曲面的生成算法(Algorithm)

在道路交通管理中，为了获得车辆的运动数据，早期经常采用的是感应线圈等硬件测量的方法。而如果采用摄像头拍摄的道路视频，再用计算机软件处理的方法，则可以极大的增加方便性和灵活性。本文运动目标检测与跟踪研究如何让计算机从视频图像序列中获得物体运动数据。(Traffic management in order to obtain motion data of the vehicle, is a method often used early induction coil measurement hardware. If using a video camera to shoot on the road, and then deal with methods of computer software, you can greatly increase the convenience and flexibility. This paper studies the moving target detection and tracking moving objects how to get data from a computer video image sequence.)

一个示波器的框架(the framework of an oscilloscope)

鱼眼图像校正并将校正后的图像转换成鸟瞰图，即俯视图，纯C代码，没有调用其它库(fish eye image correction,then change it to bird s eye view)

在对话框中实现splitter(achieve splitter)

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)

opencv中对扫描图片的切边处理，并且对倾斜图片进行旋转矫正，(The cutting edge of the picture in opencv, rotation correction)

可以采用形态学方法找出边界，比较有益的初学者的学习方法。(It s very good for a newer to learning about image processing.)

基于K均值算法和互信息熵差的算法，可以有效地确定分类数,从而该算法对医学图像进行自动优化分割。(K means algorithm based on entropy and mutual information algorithms, can effectively determine the classification number, so that the algorithm for automatic optimization of medical image segmentation.)