Matlabimagefun

example of tikhonov regularization tools

说明：  国外课件：Active shape model 和 active contour model(snake)的matlab 原码，包括PDF格式的程序使用说明(Foreign courseware: Active shape model and active contour model (snake) in the matlab source, including the PDF format of the program instructions)

matlab常用函数源代码，如sigmerge等函数，可直接调用，代码均通过测试(commonly used functions of matlab source code, such as sigmerge function can be called directly, the code are tested)

fft界面分析 能够实现海明窗，汉宁窗，平顶窗等分析数据数据 用matlab gui 界面实现(fft study)

MEDIAN FILTER DESIGN FOR THE REMOVAL OF NOISE FROM HIGHLY CORRUPTED IMAGES

Matlab官方文档：图像处理工具箱image processing toolbox(Matlab official documents : Image Processing Toolbox image processing toolbox)

Dicar6000 Injector Test Program

主要介绍一些基本的神经网络知识和总结，以及实现过程中应该注意的一些问题(Describes some of the problems some basic knowledge of neural networks and summary, as well as the implementation process should be noted)

music算法的影响因素 包括有阵元间距 信噪比 快拍数 角度差的影响 直观 简单(matlab about music)

为实现合成孔径雷达（SAR）图像分类算法的测试与评估，将VC/Matlab 混合编程技术应用到SAR 图像分类平台开发中，分析与 比较了4 种VC/Matlab 混合编程方法及各自优缺点，并着重研究了基于组件对象模型（COM）的VC/Matlab 混合编程方法。使用Matlab COM 编译器创建了SAR 图像分类算法组件，在VC 中调用其导出的接口函数。在此基础上，完成了SAR 图像分类平台的实例开发且 可脱离Matlab 环境运行。实验结果表明，该方法较好地发挥了VC 与Matlab 各自的优势，提高了SAR 图像分类平台开发的效率。(In order to test synthetic aperture radar （SAR） image classification algorithm，VC/Matlab mixed programming technology was used in SAR image classification platform development. Four VC/Matlab mixed programming methods were introduced and analyzed. Comparing with other three methods，the method based on component object model （COM） was studied particularly. SAR image classification algorithm component was created by Matlab COM complier，and its interface function could be invocated with VC. Using this method，a SAR image classification platform was realized. The platform could run without Matlab. The experimental result shows a good combination of VC and Matlab. So，developing efficiency could be enhanced a lot.)