GUI_IMAGE_PRocessing

image threshoolding color image

This toolbox was designed as a teaching aid, which matlab is particularly good for since source code is relatively legible and simple to modify. However, it is still reasonably fast if used with the supplied optimiser. However, if you really want to speed things up you should consider compiling the matrix composition routine for H into a mex function. Then again if you really want to speed things up you probably shouldn t be using matlab anyway... Get hold of a dedicated C program once you understand the algorithm.

实现EM算法的MATLAB仿真程序，利用高斯混合模型实现EM聚类算法，并比较估计参数。(EM algorithm to achieve the MATLAB simulation program, using Gaussian Mixture Model EM clustering algorithm, and compare the estimated parameters.)

说明：  tv模型用于图像修复matlab代码，用于比较简单的图像修复可以(matlab code)

说明：  计算方法参考文献：王宁练：冰川平衡线变化的主导气候因子灰色关联分析 冰川冻土(Calculation References: Wang Ning practice: a balanced line of glaciers to climate change in the dominant factor glacier permafrost gray relational analysis)

说明：  大模型的采样点时间波场图。还是先前的大模型，这次采用了十个检波器记录数据。通过修改常量可以达到修改检波器数目的目的。C源程序，MATLAB绘图。(Large model sampling time to wave field map. Is a large model of the previous, this time using 10 detectors record data. Constant change can be achieved by modifying the detector number of purposes. C source code, MATLAB graphics.)

此文件为matlab实例源文件，用直接于实际应用中，可加以修改，应用广泛。(matlab)

用 来 生 成 fir 中 的 hn 表 达 式(to create the hn in the fir fliter)

该算法用于自回归输入模型，是一种迭代的算法。其基本思想是基于对数据先进行一次滤波处理，后利用普通最小二乘法对滤波后的数据进行辨识，进而获得无偏一致估计。但是当过程的输出信噪比比较大或模型参数较多时，这种数据白色化处理的可靠性就会下降，辨识结果往往会是有偏估计。数据要充分多，否则辨识精度下降。模型阶次不宜过高。初始值对辨识结果有较大影响。(The algorithm used for autoregressive input model, it is a kind of iterative algorithm. The basic idea is based on data to conduct a filtering processing, after using ordinary least square method to identify the data filter, and then obtain unbiased consensus estimates. But when the process output signal-to-noise ratio is larger or model parameters are too, this kind of data white processs reliability will drop, identification results tend to be biased estimate. Data should fully, otherwise the identification accuracy down. Model order time shoulds not be too high. Initial value to identification results have great influence on.)

这是SMITH预估器的相关程序，适合搞过程控制的同学学习，希望对大家有用(This is SMITH predictor procedures for students engaged in learning process control, want to be useful)