matlab-jaiocheng

This code demomstrates an improved algorithm based on the local binary fitting (LBF) model in Chunming Li et al s paper: "Minimization of Region-Scalable Fitting Energy for Image Segmentation", IEEE Trans. Image Processing, vol. 17 (10), pp.1940-1949, 2008. Usage: These codes can be used for Matlab 7.0.4 or higher versions in Windows. Run the Demos in the M-files for several test images. Once an image comes out, click the mouse to generate a polygon as the initial contour: left click to get a number of points, then right click to get the end point. The number of iterations may need to be increased if the initial contour is too far away from the desired object boundary.

基于遗传算法的最优控制的研究，是一篇论文。(Based on genetic algorithms optimal control studies, is a paper.)

Visually select image using a GUI

两种先进的数字图像混沌加密方法,用MATLAB实现.经过调试.(Two kinds of advanced chaotic encryption methods, and use MATLAB to achieve. After debugging.)

The economic load dispatch plays an important role in the operation of power system, and several models by using different techniques have been used to solve these problems. Several traditional approaches, like lambda-iteration and gradient method are utilized to find out the optimal solution of non-linear problem. More recently, the soft computing techniques have received more attention and were used in a number of successful and practical applications. The purpose of this work is to find out the advantages of application of the evolutionary computing technique and Particle Swarm Optimization (PSO) in particular to the economic load dispatch problem. Here, an attempt has been made to find out the minimum cost by using PSO using the data of three and six generating units

数字方阵，实现基本的方阵功能，保证功能的完整 (Digital matrix)

Extract bus trajectories from VISSIM vehicle record files

Iris detection with Hough transform

说明：  matlab环境下的遗传算法交叉程序，有不当之处敬请指教(Matlab environment of cross-GA procedures, it can be faulted Comments enlighten)

本书从工程应用与实践的角度，对模糊推理与模糊控制系统作了深入浅出的介绍，并以多 个实例详细地介绍了模糊推理的学习及其在 matlab模糊逻辑工具箱中的实现，使得读者可以尽快地掌握模糊逻辑的内容与模糊控制的实现和使用。(Book from the point of view of engineering application and practice of fuzzy reasoning and fuzzy control system was introduced in simple terms, and Instances detailed description of the learning of the fuzzy inference in matlab fuzzy logic toolbox to achieve, so that the reader can grasp as soon as possible to implement and use of fuzzy logic and fuzzy control. )