gray

解优化问题的单纯形法，用矩阵形式推导完成，后附变量解释和大体流程解释。(Simplex method to solve optimization problems, reducted from matrix, following is variable explaination and general process explaination.)

ADD TWO IMAGES WITHOUT FUNCTION

说明：  算法实例，一个基于配电网的可靠性分析案例，运用蒙特卡洛法(Algorithm example, a reliability analysis case based on distribution network, using Monte Carlo method)

The groupsac algorithm for estimating the findamental matrix

matlab 在图像融合中的应用时很广泛的 在融合中的评价 也是很 有用的 (matlab is a tools that can fusion the remote sensing image )

Orderbased crossover takes two parents P1,P2 and performs order based crossover by Davis.

基於遗传粒子群的最新改进算法基於遗传粒子群的最新改进算法(The latest improvements in genetic particle swarm algorithm )

使用MATLAB生成线性调频信号，并进行傅里叶变换，并进行脉冲压缩(Chirp signal is generated using MATLAB and Fourier transform, and pulse compression)

high voltage direct current

用matlab编程工具，编写具有操作界面的应用程序，通过菜单、对话框，选项框等界面控制，对算法进行演示。需要在应用系统中实现的算法及功能包括： 1、图像增强算法 （1）灰度线形变换：亮度及对比度可以调节（通过控制参数的改变，能够实时预览变化结果）； （2）直方图均衡：可在界面上对比均衡前后的效果。 2、图像变换算法 （3）对一幅彩色图像进行DCT变换和反变换，对比结果和原图； （4）仅保留左上角16X16的DCT系数，进行反变换，计算结果图的信噪比SNR。 3、图像分割算法 （5）采用最优阈值算法对灰度图像进行分割； （6）用Canny算法对灰度图像进行边缘检测； （7）用hough变换，检测边缘图像中的直线，并用不同颜色将检测出的直线叠加显示到原图像上。 (Preparation of a user interface with Matlab programming tools, applications, menus, dialog boxes, option boxes and other interface control, the algorithm demo. Algorithms and functions that need to be achieved in the application system including: 1, the image enhancement algorithm (1) gray linear transformation: the brightness and contrast can be adjusted (by controlling the change of the parameters, it is possible to real-time preview changes result) (2) Histogram equalization : contrast before and after equalization effect in the interface. 2, an image transformation algorithm (3) for a color image DCT transform and inverse transform, comparing the results and the original (4) to retain only the upper left corner of 16x16 DCT coefficient, the inverse transform, the signal-to-noise ratio SNR calculation results of FIG. . 3, image segmentation algorithm (5) The optimal threshold algorithm to gray-scale image segmentation (6) Canny algorithm for edge detection of gray-scale images ()