gac-upwind

基于模拟退火的粒子群算法，主要是将模拟退火得概率问题用于粒子群，使其不易陷入局部最优(Simulated annealing particle swarm algorithm based on simulated annealing was mainly probability for PSO, it is not easy to fall into local optima)

color image watermarking with color

熟悉图像的频域滤波算法、灰度图经FFT 后变到频域、噪声及移除(Familiar image of the frequency domain filtering algorithm, after the change to grayscale by the FFT frequency domain, noise and removed)

文件包括图像平滑处理，灰度拉伸，梯度法锐化，拉普拉斯锐化，色彩变换 二值化，边缘增强等， 还有众多的直方图。是学习vb 图像处理的一个很好的实例！

说明：  根据：一种可识别破碎图形的特殊广义Hough变换方法 论文，在matlab上做的实验源码，有模版生成，广义哈夫变换代码(In accordance with: A broken identifiable graphics special generalized Hough transform methods papers, in matlab to do experiments on the source, there are template generation, generalized Hough transform code)

实现基本的LMS算法和归一化LMS算法学习曲线的比较仿真(LMS algorithm and normalized LMS algorithm learning curve comparing simulation)

利用c均值方法对图象进行聚类分割,此为matlab环境下的仿真代码(Use c-means clustering methods for image segmentation, this is matlab code simulation environment)

广度优先搜索和深度优先搜索在网络拓扑图上的实现。广度优先搜索是从某一节点开始，搜索与其线连接的所有节点，按照广度方向像外扩展，直到不重复遍历所有节点；深度优先搜索是从某一节点开始，沿着其搜索到的第一个节点不断深入下去，当无法再深入的时候，回溯节点，然后再在回溯中的某一节点开始沿另一个方向深度搜索，直到不重复的遍历所有节点。 (Breadth-first search and depth-first search in the network topology is realized. Breadth-first search is started from a node, searching all the nodes connected to its line, in accordance with the breadth direction as extracapsular extension, until no repeat traverse all nodes depth-first search is started from a node along its search to the first nodes deepening it, when it can not go any further, backtracking node, and then back again in the beginning of a node depth search in the other direction until the non-repetition of the traverse all nodes.)

图像配准的很好的程序，里面用到粒子群算法(image registration is a good procedure, which used PSO)

文档介绍了大量离散实验数据的平滑滤波处理方法(Document describes a large number of discrete experimental data smoothing filter processing method)