How-to-write-good-papers

说明：  我是一个图象处理的初学者,用MATLAB语言编写了一些内部的函数,实现了图象处理的功能,比如entropy,laplician,otsu,top-hat等(image processing is a beginners MATLAB language some internal functions, achieving image processing functions, such as entropy, laplician, Otsu, top-hat, etc.)

说明：  matlab下使用帧差法实现视频跟踪，提供了一个测试视频和完整的说明文档 已验 无错 放心使用 改一下视频路径即可(matlab to use the frame difference method for video tracking, provides a test video and full documentation is error-free ease of use experience to change the path to your video)

自己编的求图像熵值的小程序，用来理解熵的含义和概念。(Own image for the entropy of small procedures, used to understand the meaning and concept of entropy.)

写成gauss-gamma双窗函数，计算含有相干斑噪声的sar图像的梯度(The gauss-gamma double window function is used to calculate the gradient of the SAR image with the speckle noise)

C# 图片翻转 并显示 实例源码

说明：  基于边缘特征的SAR图像与光学图像匹配，测度为Hausdorff距离(SAR images based on edge features and optical image matching, for the Hausdorff distance measure )

利用摄像头工具箱标定得到的内部参数还原透视图像为“鸟瞰图”。本例中使用的图像时棋盘格。(Using the internal parameters obtained from the camera calibration toolbox. reducting perspective images as the "bird s eye view". In this case, use the image of the checkerboard.)

基于mean-shift的动态目标跟踪算法，简单有效，另附图库(Based on mean-shift of the dynamic target tracking algorithm, simple and effective, attach library)

本算法将进行人脸识别，首先进行人脸定位检测，然后根据数据库里给的标签进行人脸识别，将人脸的信息显示在人脸旁边。本算法能取得较好的效果。(The algorithm will perform face recognition, first face detection, and then according to the database to the label for face recognition, the face of the information displayed next to the face. The algorithm can achieve better results.)

使用C++ OpenCV库进行行人检测，并且计数人流量个数(Use C++ OpenCV library for pedestrian detection and count the number of human traffic)