TUT_ComSensImRec_Matlab_demo

实现图像的方差，斜度，峰度，能量和熵的实现，代码简单，可以直接运行(matlab graph variance)

hessian矩阵在图像处理中的应用。根据图像所得函数，建立相应的hessian矩阵(hessian matrix in image processing applications. The resulting function according to the image, to establish the corresponding hessian matrix)

说明：  快速磁共振成像领域的GRAPPA（generalized auto-calibrating partially parallel acquisitions）算法实现(GRAPPA realization in fast MRI)

国外写的knn-matting，图像抠图的源程序，有实例，可直接使用(knn-matting looking abroad to distinct the image layer, there are instances, can be used directly)

说明：  该课题为基于MATLAB的汽车出入库识别系统，带有丰富的人机交互GUI界面。目前毕业设计选题中，传统的中规中矩的车牌识别不易得到高分，必须要在此基础上有所创新方得可以避开其他雷同课题，不会轻易被导师被否决而导致毕设不过。因此建议在车牌识别基础上加入多种方法的对比，看看哪种方法的精度高。虽然目前有很多方法的车牌识别，但是都是在各自的测试库里面测试的，比如测试的车牌图像不同，字符库不同，导致无法做对比。整个设计在一个GUI界面上完成。(This project is based on MATLAB vehicle in and out of the warehouse identification system, with rich human-computer interaction GUI interface. At present, in the topic selection of graduation project, the traditional regular license plate recognition is not easy to get high scores, so it is necessary to innovate on this basis to avoid other similar topics, and it will not be rejected easily by the tutor, leading to the failure of graduation project. Therefore, it is suggested to add a variety of methods on the basis of license plate recognition to see which method has high accuracy. Although there are many methods of license plate recognition, they are tested in their own test library, for example, the test license plate image is different, the character library is different, so it can not be compared. The whole design is completed on a GUI interface.)

用自相关法 来实现图像匹配，非常好用，值得一试(Autocorrelation method to achieve the image matching, very easy to use, it is worth a try)

说明：  使用LazySnapping算法对GrabCut算法进行改进(There are advanced segmentation algorithms in the literature which extends the concepts of graph cuts. Most prominent of them are Graph cuts and Lazy Snapping. Lazy napping is an interactive image cut out tool. Lazy Snapping separates coarse and fine scale processing, making object specification and detailed adjustment easy.)

该文件包含与以下文件相关的代码： Y.Liu和Z.Wang具有自适应稀疏表示的同时图像融合和去噪(This package contains the code which is associated with the following paper: Y. Liu and Z. Wang Simultaneous image fusion and denoising with adaptive sparse representatio)

利用汉宁窗设计Ⅰ型数字带阻滤波器,通过Matlab实现。(Band Reject Digital Filter based on HanningI though Matlab.)

数学形态滤波。包括打开，滤波，处理，去噪等一系列功能。代码实验无误(Mathematical morphology filtering. A series of functions, including open, filtering, processing, denoising. Code experiment is correct)