p300

本代码主要关于摄影测量中的单向空间后方交会(resection of photogrammetry)

说明：  2019最新的神经网络隐写分析网络，对空域频域均可(The newest neural network steganographic analysis network 2019 is applicable to both spatial and frequency domain)

说明：  能够实现对一幅图像的最近邻、双线性、双三次三种插值(Can realize the nearest neighbor, bilinear and bicubic interpolation of an image)

说明：  图像处理方面的简单程序，可以实现图片的大小转换，从而制作自己的图像模板(make your own picture)

说明：  用于计算图像的信息熵和相关性系数，在信息隐藏的图像算法评价中有很好的应用。(It is used to calculate the information entropy and correlation coefficient of image, and has a good application in the evaluation of image algorithm of information hiding.)

60轨CAD断面图，严格按照国家标准作图，60轨CAD断面图(Cross-sectional drawing of 60-rail CAD)

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)

直方图增强的，动态频数均衡，用matlab编写(Histogram enhanced, dynamic frequency equalization, using matlab write)

自己编写的粒子群优化算法,以计算一个函数的值作为测试,达到了良好的精度(The particle swarm optimization algorithm written by ourselves is designed to calculate the value of a function as a test, and good precision is achieved.)

说明：  AForgeNet 是基于.net框架使用C#高级面向对象语言设计开发的专门为开发者和研究者学习和使用的开源图像处理类库，包括计算机视觉与人工智能，图像处理，神经网络，遗传算法，机器学习(AForgeNet is an open source image processing class library designed and developed for developers and researchers based on. net framework using C # advanced object-oriented language. It includes computer vision and artificial intelligence, image processing, neural network, genetic algorithm and machine learning.)