Sparse-and-Redundant-Representations

本程序采用了特征线法计算管道阀门关闭时的水锤(This program uses a water hammer characteristic line method to calculate the pipe when the valve is closed)

基于多尺度形态学提取眼前节组织，已经调试成功，效果明显，可直接使用(Extraction of anterior segment tissue based on multi-scale morphology has been successfully debugged, and can be used directly.)

程序设计步骤： 1、去均值 2、计算协方差矩阵及其特征值和特征向量 3、计算协方差矩阵的特征值大于阈值的个数 4、降序排列特征值 5、去掉较小的特征值 6、去掉较大的特征值(一般没有这一步） 7、合并选择的特征值 8、选择相应的特征值和特征向量 9、计算白化矩阵 10、提取主分量(Programming steps: 1 to mean 2, calculation of covariance matrix and its eigenvalues and eigenvectors 3, the calculation of covariance matrix eigenvalues greater than the threshold number of 4, in descending order of eigenvalue 5, remove the smaller eigenvalue 6, remove the larger eigenvalue (usually not this step) 7, the combined choice of eigenvalues 8, select the appropriate eigenvalues and eigenvectors 9, computing whitening matrix 10, principal component extraction)

国外的牛人写的软件，数据降维工具箱，包含了几十种常用的流形学习方法的源码，自带图形界面。(A foreign master write this dimension reduction toolbox,there s dozens of code of common manifold learning methods. )

用MATLAB来实现简单图像特征点提取和匹配(Using MATLAB to implement a simple image feature extraction and matching)

实例中的dotnetCHARTING.dll 文件即是 dotnetcharting控件，饼形图、柱形图等详见 核心代码部分 这是官方网址： http://www.dotnetcharting.com/

该文件夹包括代码及其对应的论文。其作用在于模拟人类视觉系统的生理特性--视觉注意机制，按照人眼观察外界的方式，检测视觉显著性物体和区域，并阐述了显著性区域的显著性密度和尺度之间的关系，可应用于生物视觉模拟、视觉目标检测、视觉目标跟踪、视觉智能监控，以及视觉生理学和视觉心理学等的研究中。(This document contains codes and the corresponding paper. The aim is to simulate a physiological characteristic of human visual system called visual attention mechanism. The code is used to detect salient objects or regions following the way human eye observes the world. The relation between density and scale of salient object/region is described. It has found widespread use in numerous applications such as biological vision simulation, visual object detection, visual object tracking, visual intelligent surveillance, visual physiological, and visual psychology.)

对各种不同的传感器测得数据进行融合处理，从而获得精确的环境信息，能够做出更正确的判断。这个是一位非常优秀的老师的课件，非常值得一看！是关于数据融合方面的(On a variety of sensor data fusion measured to obtain accurate environmental information to make more accurate judgments. This is a very good teacher of the courseware, is worth a visit! Data fusion)

利用matlab提取掌纹图像的感兴趣区域，ROI提取(Extract palmprint images using matlab region of interest, ROI extraction)

马尔可夫（MRF）图像分割MATLAB源码,有30几个函数。Markov随机场的例子程序,对于初学MRF的人很有用,能得到直观的印象(Markov (MRF) image segmentation MATLAB source code, 30 a number of functions. Markov random field example of the procedure, for beginner person MRF useful that they can get a visual impression)