matlabPHFSS-apply

图像配准中的两幅图像的归一化互信息计算方法代码(Image registration of two images of the normalized mutual information method code)

自动解一元二次方程，是一个GUI设计的源码，图形界面没有上传，但是只要相应的控件都可以容易找到(automatically with one yuan quadratic equation, is a source of GUI design, graphical interface without uploads However, as long as the corresponding controls can easily find)

Gonzalez, digital image processing of matlab toolkit

Adobe Photoshop toolbox.Version 1.0 13-Dec-2006。photoshop中的matlab工具包，包括54个M文件，能够实现在matlab中调用photoshop的操作函数，并将处理结果传回matlab.也可以将matlab工作空间里的图像矩阵传送到photoshop中进行处理并动态返回结果. 该工具包从CS4中提取得到(其他版本没有测试过！)，安装时直接解压缩到photoshop文件夹下，按照压缩包中的pdf说明文档在matlab中添加路径后即能够使用，并能够在help中看到一个photoshop toolbox.(Adobe Photoshop toolbox.Version 1.0 13-Dec-2006. photoshop in matlab toolkit, including 54 M files, photoshop function call operation can be achieved in matlab, and the results returned matlab. too matlab workspace in the image matrix can be transferred to photoshop for processing and dynamic returns the result. toolkit extract obtained from CS4 (other versions not tested!), unzip the installation directly to photoshop folder, according to the compressed package in matlab pdf documentation can add the path after use, and can see in the help of a photoshop toolbox.)

OFDM systems based on MATLAB simulation program

This is an implementation of the algorithm for calculating the Structural SIMilarity (SSIM) index between two images. Please refer to the following paper: Z. Wang, A. C. Bovik, H. R. Sheikh, and E. P. Simoncelli, "Image quality assessment: From error visibility to structural similarity" IEEE Transactios on Image Processing, vol. 13, no. 4, pp.600-612, Apr. 2004.

Optical Character Recognition Algorithm

it includes main file for data gatheing.............................................

用于坐标转换，由xyz转换到neu方向上，基于MATLAB编程实现(Used for coordinate conversion the conversion by xyz neu direction, based on MATLAB Programming)

基于BP神经网络的字符识别算法源代码，包括网络仅值训练方法，训练是通 过调用34个字符文件夹，识别率达到99.8 。(BP neural network-based character recognition algorithm source code, including the value of the network only training methods, training is by calling the 34-character file folders, the recognition rate of 99.8 .)