imseg

说明：  该节主要介绍下matlab下的光流法以及一个研究物体检测方面的一个较好的工具箱 ：Piotr’s Computer Vision Matlab Toolbox .将这两个工具箱及其里面所有文件的路径都添加到matlab路径中去，这样的话基本上是可以用了。 Piotr’s 的工具箱里面的函数很多，也涉及到了很多方面，更主要的是关于目标检测方面的。(This section mainly introduces the optical flow under Matlab and a better toolkit for researching object detection: Piotr 's Computer Vision Matlab Toolbox. Add the two toolkits and all the files in the path to the MATLAB path, which is basically useful. There are many functions in the toolbox of Piotr 's, and there are many aspects involved)

图像加密后期测试的程序，用来评价加密图像的质量好坏，可用于图像加密方面(mage encryption late test procedures, used to evaluate the quality of encrypted images, can be used for image encryption)

使用echat 绘制的地图 百度地图api(Map drawn using echat baidu map api)

人体脑信号波形检测与分析,包含自相关,功率谱分析的方法(Human brain signal detection and analysis, including autocorrelation, the method of power spectrum analysis)

基于Hough 变换的SAR 图像舰船尾迹检测方法。该文引进了K均值聚类方法,将这些点集归类,归类后的每一类的类心能很好的代表一条尾迹,实验结果表明方法是有效的。(Hough transform based on SAR images of ship wake detection. The introduction of the K-means clustering method to classify these points, is classified in each category after the class on behalf of the heart can be a good wake, experimental results show that the method is effective.)

有关投影的光学资料,针对DLP的几何光学(Information on the projection optics, geometrical optics for DLP)

用matlab中各种不同方法对模糊图像进行复原，有维纳滤波，盲返卷积，Lucy-richardson方法，规则化复原图像等(Various different methods using matlab fuzzy image restoration, with Wiener filtering, blind convolution back, Lucy-richardson methods, rules-based recovery images, etc.)

说明：  Fienup的混合输入输出算法，是一种迭代算法，用来求相位的算法HIO(Fienup's hybrid input and output algorithm is an iterative algorithm used to find the phase algorithm HIO)

这个事关于Computer Graphics （计算机图形学）的教学代码！！！(The thing about Computer Graphics (computer graphics) teaching the code! ! !)

说明：  PCL是一个类似于OpenCV的开源库，提供了很多三维点云的处理功能，其中就包括点云拼接。在三维扫描项目中，需要利用点云拼接方法将多次扫描得到的点云数据拼合成一个整体。在本例中，用一幅包含人脸的深度图像去匹配之前获得的人脸模板，这将使我们能够确定人脸在场景中的位置和方向。(PCL is an open source library similar to OpenCV, which provides a lot of processing functions for three-dimensional point clouds, including point cloud mosaic. In the three-dimensional scanning project, it is necessary to use point cloud mosaic method to combine the point cloud data obtained from multiple scans into a whole. In this example, a depth image containing face is used to match the face template obtained before, which will enable us to determine the position and direction of the face in the scene.)