runExample

说明：  利用bp神经网络对遥感图像进行分类，输入样本值后，根据样本值对遥感图像不同的地物进行分类，分类后计算每种地物所占面积(The use of bp neural network classification of remote sensing images, enter a sample value, based on the sample value of the different features of remote sensing image classification, classification features calculated for each share of area)

数字图象处理matlab版，冈萨雷斯著，经典图书附带的源代码全集(Digital image processing matlab version of the classic books comes with the source code)

说明：  测试系统模型的测试路径选择算法研究The test based on the test system model path algorithm(The test based on the test system model path algorithm)

遗传算法优化BP神经网络，关于y=x1平方+x2平方的(BP neural network genetic algorithm, y = x1square+ x2 square)

implementation of classification based on least square error method in MATLAB environment.

球赛门票的售票处规定每位购票者限购一张门票，且每张门票售价 50元。购票者中有 m位手持50元钱币，另有n人手持100元。假设售票处开始售票时无零钱。问这m+n人有 几种排队方式可使售票处不致出现找不出钱的局面。(The box office ticket sales are limited to the provisions of each ticket purchase a ticket, and the price of 50 yuan per ticket. Ticket-holders have m-bit hand-held 50 coins, and another n armed with 100 yuan. Suppose no small change when the ticket office began selling tickets. M+ n asking a few people queuing up outside ticket office can not find the money to avoid a situation.)

本源代码首先实现普通的直方图均衡化，再实现灰度级之间的均匀分布，可以有效的解决直方图均衡化过程中的灰度断层现象。使得图像更加的柔和，直方图分布更均匀。(Source code first to achieve common histogram equalization, and then to achieve uniform distribution between gray levels can be an effective solution in the process of histogram equalization, gray fault phenomenon. Makes the image more of the soft histogram more evenly distributed.)

PSOt - a Particle Swarm Optimization Toolbox for use with Matlab. A Particle Swarm Optimization Toolbox (PSOt) for use with the Matlab scientific programming environment has been developed. PSO is introduced briefly and then the use of the toolbox is explained with some examples. A link to downloadable code is provided.

说明：  该代码是关于CS的经典例子，里面包含了OMP等经典基础的重构算法，是初学者的必备资料(The code is about the CS classic example, which contains the OMP and other classic based reconstruction algorithms.These is essential information for beginners)

This is a matlab version of 3D MSER, while VLFEAT library is required.