Sobel

无监督分类方法，包括kmeans，som和fcm，非常好用(Unsupervised classification methods, including kmeans, som and fcm, very easy to use)

SIFT特征提取演算法(包含匹配以及除错机制RANSAC)-可用于两张影像之特征点匹配 (SIFT feature extraction algorithm (including the match, as well as debug mechanisms RANSAC)- can be used for two images of the feature points matching)

说明：  matlab实现人眼精确定位 实现效果良好(Accurate eye location by MATLAB)

人脸检测：可自动检测人脸，速度还可以吧！(Face Detection : can automatically detect faces and can also speed!)

matlab回归法做图像变化检测。有图片有结果，有论文说明，可参照使用(Matlab regression method for image change detection. There are pictures of the results, there are papers, can refer to use)

使用背景差分法实现一般视频的前景运动目标提取和检测。(The background difference method is used to realize the extraction and detection of the foreground moving target in the general video.)

快速角点检测，对学习角点检测同学应该有帮助。(Fast corner detection, detect students learning corners should help.)

图像去雾代码，参考文献《An Investigation of Dehazing Effects on Image and Video Coding》(matlab code for dehazing，reference：<An Investigation of Dehazing Effects on Image and Video Coding>)

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.)

基于多尺度MRF模型的图像分割算法。使用提升小波对原始图像进行分解，使用ICM算法进行分割处理(Multi-scale MRF model based image segmentation algorithm. The original image using lifting wavelet decomposition, the use of ICM segmentation algorithm)