LianXi2

说明：  图像色彩空间转换，hsi空间，cmy，yiq，yuv等等(Digital Image Color Space Conversion)

sift目标跟踪特征点的匹配，检测性能高，匹配效果好(sift target tracking feature points of the match, testing high-performance, match the good results)

一个自己编的解码jpeg格式图片的VC++程序的源代码。()

说明：  首先对车牌识别系统的现状和已有的技术进行深入的研究，然后开发出一个基于 Python 的车牌识别系统，文中先对车辆图像进行高斯去噪、灰度化和边缘检测等预处理方法，然后用颜色特征和形态特征相结合的方法来确定车牌位置，用彩色分割法来完成车牌分割，最后，运用 SVM 分类训练器完成字符识别并使用Python 软件环境进行车牌识别的仿真实验。(License plate recognition based on SVM)

显示WMF格式位图！(show WMF format bitmaps!)

说明：  快速K均值聚类图像分割算法源代码，能很好的实现图像的分割处理(Fast K-means clustering algorithm for image segmentation source code, can achieve very good to deal with image segmentation)

针对电气设备同一场景的红外与可见光图像间一致特征难以提取和匹配的问题，提出了一种基于斜率一致性的配准方法。首先通过数学形态学方法分别提取红外与可见光图像的边缘，得到粗边缘图像；然后通过SURF算法提取两幅边缘图像的特征点，根据正确的匹配点对之间斜率一致性的先验知识，进行特征点匹配；最后通过最小二乘法求得仿射变换模型参数并实现两幅图像的配准。实验结果表明，该方法有效提高了匹配点对的正确率，能够对电气设备红外和可见光图像实现高精度的配准。(In this paper, a method based on slope consistency is proposed to solve the problem that the uniform features of infrared and visible images are difficult to extract and match. Firstly, the edges of infrared and visible images were extracted by mathematical morphology, and the rough edge images were obtained. Then, the feature points of two edge images were extracted by SURF algorithm, and the priori knowledge of slope consistency was obtained according to the correct matching point, and the feature points were matched. Finally, the model parameters of affine transformation are obtained by least square method and the registration of two images is realized. The experimental results show that this method can effectively improve the accuracy of matching points, and can realize high precision registration of infrared and visible images of electrical equipment.)

SART图像重建代码 基于C++ 主要用于CT等射线处理(code of image and with a wide application of CT, x-RAY , ETC)

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.)

说明：  扩散映射置乱与超混沌系统组合图像加密算法 扩散映射置乱与超混沌系统组合图像加密算法(Combi ned i mage encryption a lgor ithm ba sed on di ffusi on mapped disorder and hyperchaoti c system s)