menfun

针对多个通道canny边缘检测然后进行融合的算法(For multiple channels canny edge detection algorithm is then fused...)

运用MATLAB程序识别图像并将其划分为文字和非文字的两个类别(MATLAB program to identify the use of images and text and is divided into two categories of non-text)

1.参数的设计 1）系统的变量比较多而且应用非常频繁，所以运用的变量要具有特征性 2）尽量使用课本上的变量，如果课本上的变量无法实现，在考虑其他自己定义变量 3）由于MATLAB使用变量可以不用先定义生命变量，所以可以直接使用变量 4）但是一些全局性的变量必须要定义( 1. Parameter design 1) system variables and the application is more frequent, so the use of the variable to have the characteristics of 2) the use of textbooks on the variables as possible, if the books can not be achieved on the variables, taking into account their other define the variable 3) use of the MATLAB variable life and variable can not be defined, so you can directly use the variable 4), but some global variables must be defined)

基于MATLAB环境下的运用直接法求解线性方程组的对应的代码 简单易学 便于初学者消化使用(Based on MATLAB environment using a direct method for solving linear equations corresponding code is easy to learn for beginners to use digest)

这是一个关于稀疏高斯过程的matlab源码，可以用于计算测试输入的高斯预测值。( spgp_pred computes the SPGP predictive distribution for a set of test inputs. You need to supply a set of pseudo-inputs or basis vectors for the approximation, and suitable hyperparameters for the covariance. You can use any method you like for finding the pseudo-inputs , with the simplest obviously being a random subset of the data. It is coded for Gaussian covariance function, but you could very easily alter this. It is also fine to use for high dimensional data sets. spgp_lik is the SPGP (negative) marginal likelihood and gradients with respect to pseudo-inputs and hyperparameters. So you can use this if you wish to try to optimize the positioning of pseudo-inputs and find good hyperparameters, before using spgp_pred . I would recommend initializing the pseudo-inputs on a random subset of the data, and initializing the hyperparameters sensibly. Its current limitations are that 1) it is slow and memory intensive for high dimensional data sets 2) it is heavi)

利用伴随矩阵进行矩阵求逆的程序，各阶矩阵皆可，不能求各有提示（不是很熟练，所以可能写的比较浅）(matrix inversion using the method of adjoint matrix)

matlab绘制图形完成后，在句柄窗口实现局部放大，通过鼠标键盘的操作来选择放大区域(matlab graphics rendering is completed, the handle of the window to achieve local amplification, through the operation of mouse and keyboard to select the magnified area)

最基础的snake检测轮廓边缘方法的代码，用matlab编写，注释清晰完整。(The snake most basic outline of the edge detection method code, matlab written comments clear and complete.)

contrast enhancement on grayscale image based on Posibility Distribution

cdi_readfield.m cdi_readfield.mcdi_readall.mexw32 cdi_readfull.mexw32 cdi_readfield.m matlab的一些程序，希望大家在学习中可以用到(matlab studying)