DigitalImageProcessingUsingMatlab_muya

采用低通滤波法实现数字正交的matlab例程(Low-pass filtering method using digital quadrature routines in matlab)

说明：  600个大型项目源码之一： MATLAB与VC++混合编程实现一维小波多尺度分解 小波分析世纪80年代开始发展成熟起来的一个数学分支，其应用领域十分广泛，并逐步成为信号分析的又一有力工具。MATLAB的小波工具箱为我们提供了小波多尺度分解函数，方便了我们对小波的使用。但是用它所编写的软件不能脱离MATLAB编程环境在Windows平台下直接运行，代码执行效率低下，运行时占较多的系统资源，不能达到某些用户的需求。 VC++是由美国Microsoft 公司开发的可视化C/C++集成编程环境，是目前功能最强大的软件开发工具之一。被广泛应用于Win32平台的基础应用程序的开发。 它具有强大的图形界面编程能力且代码执行效率高，可生成脱离VC++环境而独立运行的应用程序。可是VC++在数值处理分析和算法工具等方面不如MATLAB。 本文结合VC++和MATLAB 的各自优点，以VC++图形界面作为前台框架，MATLAB作为后台进行数值运算和数据可视化，利用组件对象模型（COM）技术作为媒介，实现了一维小波多尺度分解。 (matlab and vc++ program: Wavelets are a class of a functions used to localize a given function in both space and scaling. A family of wavelets can be constructed from a function ... )

说明：   Abstract—The objective of this project is to review [1] which is about delay and throughput analysis for multihop wireless adhoc networks. We are going to review the assumptions, analytical modeling, simulation, and compare the results.

Example of application in kalman filter

SSwatermarking code for multimedia security to watermark an image with this code.

用区域生长法分割图像,该文件包括完整的代码。(segmente images in Regional growth method, include the full code )

“假设我们要研究的对象是一个房间的温度。根据你的经验判断，这个房间的温度是恒定的” 学习kalman滤波的朋友开始，很可能会在网上找到一篇“卡尔曼滤波器”的文章，而且有程序，但是发现程序和文章不匹配 我自己写了一个程序，和文章一致的，图也相同，初学的朋友可以看看（我自己也刚学几天，^_^） 另：我好像在没有下载权限的情况下突然收到了一个很需要的程序，虽然不明白原因，还是很感谢("If we are to the object of research is a room temperature. Based on the experience that The room temperature is a constant "learning Kalman filtering friends, is likely to find an online "Kalman filter," the article, but there are procedures, However, procedures and found the article does not match my own writing of a process, and the same article, the map is the same, Beginners friends can see (and I have a few days just learning ,^_^) another : I do not like the download under the competence of the suddenly received a great need of the procedure, although they do not understand why, still very grateful to the)

用于二维经验模态分解EMD分析！！！！！(2D-EMD analysis)

遗传粒子群和混沌粒子群进行FIR滤波器的设计，并进行对比，滤波器可改，可寻到最优解！(Genetic particle swarm and chaotic particle swarm FIR filter design, and contrast, the filter can be changed, the hopes of finding the optimal solution!)

说明：  该代码完成用光流匹配法实现图像匹配，提供代码和参考图(The code to complete using the optical flow matching method for image matching, to provide the code and reference map)