rgb2hsi

MIE散射，金属球光散射计算程序,可自行编写修改输入参数的可靠程序( light scattering of metal balls calculation program by mie)

源码给出了非线性规划（NLP）的梯度法，其中gradf.m为梯度法算法，下载设置参数既能运行。(Given nonlinear programming source (NLP) in the gradient method, which gradf.m as gradient algorithm, download the set parameters not only run.)

这是一个马乐土科夫-GM（1，1）的程序代码，一般用于预测，对于短期预测非常有效(This is a horse paradise Cove-GM (1,1) of the code, generally used for prediction, is very effective for short-term forecast)

说明：  通过分析交通流量时间序列的特点，引入BP神经网络进行短时交通流预测。首先，分析了短时交通流量预测的意义及研究背景；然后，介绍了BP神经网络的结构模型、学习规则以及BP算法的改进算法；最后，通过BP神经网络对短时交通流进行预测，并分析了在各种不同条件下的预测情况。(through the analysis of the characteristics of traffic flow time series, introduces BP neural network for short-term traffic flow prediction. First of all, it analyzes the significance of short-term traffic flow prediction and research background. And then, it has discussed the model and structure, the study rule and the improved algorithm of BP neural network. Finally, by BP neural network to forecast the short-term traffic flow, it analyzes under different conditions of the neural network prediction.)

说明：  对原始图像添加高斯噪声，并用邻域平均和中值滤波法进行滤波，并可以进行对比。(Gaussian noise added to the original image, and use neighborhood average and median filtering method for filtering, and can be compared.)

主要是关于一些matlab的常用函数的说明，其实用途(some matlab function)

用MATLAT编的FFT程序，在MATLAB环境下可以显示波形。()

canny edge detection and some other programs

说明：  SGA（Simple Genetic Algorithm）是一种强大的智能多变量优化算法，它模仿种群繁殖规律来进行优化。本SGA可以优化变量，求最小值,最大值（当把函数倒数也就求最小值） 并且支持浮点编码，grey编码，二进制编码；轮赌法选择，锦标赛选择；单点交叉，均布交叉，浮点交叉；单点变异，浮点变异；调用时Genetic（目标函数名） 使用SGA时，首先需要一个目标函数（像AimFunc.m），该函数返回适应度输入变量为待优化变量x输出为一个适应度。然后修改Genetic.m中可以修改的地方(SGA (Simple Genetic Algorithm) is a powerful smart multi-variable optimization algorithm, which mimics the reproduction of law to be optimized. The SGA can be optimized variables, minimum, maximum, (when the function will last for the minimum) and supports the floating-point encoding, grey code, binary code round of betting method selection, tournament selection single-point crossover, uniform crossover , floating-point crossover single point mutation, floating-point mutation called Genetic (objective function name) the use of SGA, first of all need an objective function (like AimFunc.m), the fitness function returns the input variables to be optimized for the output variable x a fitness. Can be modified and then modify the place Genetic.m)

超声IUVS图像需要画边缘，手工画点，自动平滑(Need to draw the ultrasound IUVS image edge, hand-painted point, automatic smooth)