ShortestPath2Dijkstra

MonteCarlo课件，并讲解了用matlab实现方法(MonteCarlo courseware and on the realization method using matlab)

说明：  Edge detection result should be enhanced using linear method like Median filter to remove the garbage around the pupil to gain clear pupil to determine perfect centre. Get the centre of the pupil by counting the number of black pixels (zero value) of each column and row. Then get each row and column that has the maximum number of these black pixels. Then determine the center by simple calculation according to the image coordinate to set it correct on the image, consequently we can determine the radius of the pupil. Thus we can find the pupillary boundary (inner). A similar procedure is extended by using a coarse scale to locate the outer boundary (limbus) which can be apparent by using the mid-point algorithms of circle and ellipse.

It is a team project for stress and deformation analysis

马尔科夫蒙特卡洛，通过MH算法对初始状态和状态转移矩阵进行预测(Markov Chain Monte Carlo, by MH algorithm to the initial state and the state transition matrix to predict)

此程序是对不同传感器得到的图像进行融合，以便得到更好的图像(This program is an image of different sensors are fused to obtain better image)

该教程为MATLAB基础及其应用教程，介绍MATLAB的各种命令和函数(The tutorial is based on MATLAB and its application tutorial introduces various commands and functions of MATLAB)

matlab source for TSP symmetric problem using tabu search

灰度梯度共生矩阵 H 归一化灰度梯度矩阵 H_basic 小梯度优势 T1 大梯度优势 T2 灰度分布的不均匀性 T3 梯度分布的不均匀性 T4 能量 T5 灰度平均 T6 梯度平均 T7 灰度均方差 T8 梯度均方差 T9 相关 T10 灰度熵 T11 梯度熵 T12 混合熵 T13 惯性 T14 逆差矩 T15(GGCM H normalized gray gradient matrix H_basic small advantage T1 gradient big advantage T2 gradient gray uneven distribution of T3 gradient uneven distribution of energy T5 gray T4 average T6 average gradient gray T7 average gradient T8 variance variance T9 were related to T10 T11 gradient gray entropy entropy of mixing entropy T12 T13 inertia moment T15 T14 deficit)

说明：  关于微电网的多目标的调度优化，减少成本，提升效益，稳定电荷平衡(Optimal Dispatching of Microgrid)

denoising image with DWT