my_test

dipum_images_ch04 matlab编程实例(dipum_images_ch04 matlab Programming Example)

说明：  人工免疫系统工具箱，matlab源码，对于最优化问题该算法有明显的优势。(Artificial immune system toolbox, matlab source, the algorithm for optimization problem has an obvious advantage.)

说明：  ofdm_code simulator (OFDM code simulation)

Matlab 语言，杜芬振子相图,位移时间图，混沌展示。(duffing )

matlab 完全匹配层 matlab FDTD(photonics matlab FDTD)

在简要介绍 Matlab软件的基础上 ,重点分析了 Matlab和 V B混合编程的方法讨论(This paper introduces Matlab software, analyzes applications of Matlab and VB programming with signal analysis and processing)

可以实现全息图的一次快速傅里叶变换，对全息图进行再现，也可以用于全息干涉图的再现(Hologram can be achieved in a fast Fourier transform, reconstruction hologram can also be used for reproduction of holographic interferograms)

使用高斯列主元法和QR方法求解方程组，使用matlab编程.(Gaussian and QR column main element method for solving equations.)

本论文的主要内容包含以下几个方面: 首先，论述了图像融合技术的基本理论、现状和方法，并对多聚焦图像融合 算法及融合结果的评价方法做了分类。 其次，论述了小波理论及其图像的小波分解和重构，研究了小波分解层数及 小波基函数的选择对多聚焦图像融合效果的影响，并给出了在多聚焦图像融合算 法中最佳小波分解层数和小波基函数的选取 再次，研究了基十小波变换的多聚焦图像融合方法，并提出了改进后的基十 小波变换区域对比度的多聚焦图像融合方法，并利用Matlab工具进行算法进行了 仿真实验 最后，总结本论文的研究成果和不足，并指出发展方向。(The following main parts are included. Firstly, this paper discussed the basic theory, present state and means of image fusion technology, classified multi-focus image fusion algorithm and evaluation means of image fusion consequences. Secondly, this paper discussed the wavelet theory and the wavelet decomposition and reconstruction of image, studied the effects on selection of wavelet basis function and wavelet decomposition level to multi-focus image fusion, at last the best choices are proposed. Thirdly, a new method: regional contras of wavelet transformation are proposed for multi-focus image fusion based on wavelet transformation and Matlab is employed to simulation algorithm Finally, this paper summarized the research achievement and insufficient of this paper and pointed out development direction. )

一种使用边缘检测方法进行的图像分割算法程序，改程序算法简单效果也不错，初学者可以使用(A kind of using edge detection method for image segmentation algorithm procedures, change program algorithm is simple the result is right also, beginners can use)