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灰色预测工具箱。 特性： 0 数据预处理，替换掉一些不符合条件的点：如连续相等的点 1 选择最好的c进行平移变换 2 残差太大的，剔除坏点 3 最后使用 新陈代谢 灰色模型求解（xcdxgm11） 函数： ccfx.m:残差分析 gm11.m:一般的灰色预测工具 xcdxgm11.m:新陈代谢灰色预测工具(Grey toolbox. Features: 1 Data preprocessing, replace the points that do not meet the criteria: If a continuous point equal to 2 to select the best translation transformation c 3 residuals too much, remove dead pixels 4 final model was solved using the metabolism of gray (xcdxgm11) Function: ccfx.m: residual analysis gm11.m: normal gray prediction tools xcdxgm11.m: metabolism gray prediction tools)

Differential Evolution

Matlab下实现rb算法(Matlab under rb Algorithm)

mpeg1视频中的I帧以及P帧编码算法在matlab中的模拟(mpeg1 video of I frames, as well as P-frame coding algorithm of the simulation in matlab)

Automatic Gray-Scale Image Thresholding methods: Tsai, Prewitt, Rosenfeld, Otsu, Kittler, Ridler.

最优化算法中的带有Wolf搜索求步长的拟牛顿算法求最优值的源码，matlab编程实现，希望对大家有用。(Optimization algorithm with Wolf to the search requirements step quasi-Newton algorithms to find the optimal value of the source code, Matlab programming, and hope to be useful.)

基于matlab的水准网平差程序基于matlab的水准网平差程序基于matlab的水准网平差程序 水准网平差 解压文件 并运行leveling.m(Matlab network adjustment based on the standard procedures based on the standard network adjustment program matlab matlab-based standards of quality network adjustment program extract the files and run network adjustment leveling.m)

可以将分割完的子图像进行二值化，二值化效果很明显，易于下一步的分割识别(You can split end of the sub-image binarization, thresholding effect is obvious and easy to identify the next stage of segmentation)

说明：  小波变换 (matlab的小波变换 )

这是基于互信息的图像配准程序，实现起来比较简单，是用matlab实现的(This is based on mutual information image registration procedure is relatively simple to achieve them, is achieved using matlab)