MCA

该函数可接受输入图像和一个滤波函数，可处理所有的滤波细节并输出经滤波和剪切的图像。(Performs frequency domian filterlying.)

基于DCT方法的数字水印论文5篇，对学习基于DCT方法的数字水印初学者会有帮助。可以了解基于DCT的水印基本方法。(DCT-based method of digital watermarking papers 5, to learn methods of digital watermarking-based DCT would be helpful for beginners. DCT-based watermark can learn the basic method.)

说明：  标准三步搜索法，用matlab实现，经过实验效果还可以(Standard three-step search method, using matlab to achieve, after the experimental effect can also be)

图着色问题（Graph Coloring Problem, GCP）又称着色问题，是最著名的NP-完全问题之一。路线着色问题是图论中最著名的猜想之一。(Graph coloring problem (Graph Coloring Problem, GCP), also known as coloring problem, is the most famous NP-complete problems. Line graph coloring problem is one of the most famous conjecture.)

输入一个带权无向图的顶点数、边数、各条边信息（两个顶点和权值），建立该图的邻接矩阵结构，输出该邻接矩阵。将上述无向图邻接矩阵转换为邻接表结构，输出该邻接表；根据该邻接表对无向图进行深度优先遍历序列和广度优先遍历序列，并输出遍历结果；用prim算法实现构造该带权无向图的最小生成树，并将该最小生成树的各条边信息输出。(Enter a weighted undirected graph with vertices, edges, each of the side information (two vertices and weights), the establishment of the adjacency matrix structure, the output of the adjacency matrix. The above undirected graph adjacency matrix into adjacency list structure, the output of the adjacency list according to the adjacency table undirected graph depth-first traversal sequence and breadth-first traversal sequence, and outputs through the results using prim algorithm construct the weighted undirected graph minimum spanning tree, and the minimum spanning tree information on respective sides of the output.)

视觉注意工具箱，经典的Itti模型的工具箱，是GUI工具箱，有很直观的操作(visual attention toolbox for matlab ,the bos of GUI)

DMD相机原理，单像素成像原理，压缩感知(The principle of DMD camera)

PCA+LDA人脸识别，识别率高于单独PCA或LDA算法。需要matlab dimension reducation toolbox。(Face verification using PCA and LDA fusion. Better performance than single PCA or LDA algorithm. The image database is included. Matlab dimension reduction toolbox is requrired. )

亮度代表了图像的明暗程度，颜色代表了图像的色度，它包含了色调和饱和度。这个代码可以自动对这三个参数进行调整。(Brightness represents the degree of image brightness, color represents the color image, which includes hue and saturation. This code can be automatically adjusted to the three parameters.)

k均值聚类，类数可以自行指定，输出散点图，红色十字为聚类中心(K-means clustering, the class number can be specified on its own, the output scatterplot chart, and the Red Cross for clustering center)