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通过背景差获取目标，提取车辆的不变矩，外加矩形度，圆形度，体态比等特征构成特征向量组，通过欧式距离识别出车辆。(through poor background, target acquisition, unchanged from the moment vehicles, plus rectangular, circular, Body composition characteristics than the eigenvector group, by the Continental distance identify vehicles.)

图像匹配最新的源码 matlab 适合初学者和进阶者作者hongshengli (The latest source of image matching matlab for beginners and advanced by Author hongshengli)

代码主要用来模拟林芝机场附近一天内4个不同时间GDOP变化情况(Code is mainly used to simulate the Nyingchi Airport near four different times within a day GDOP changes)

利用PCA检测图像的复制粘贴区域。检测效果良好。(PCA was used to test digital image s copy and paste area.)

这是细胞边缘检测和找出细胞轮廓线的功能代码，可以很好的对细胞进行分割(This is the cell edge detection and contour lines to identify cell function code, a good division of cells)

运动检测 检测人体的头部位置、整体位置、滤除影子(Motion detection detect the body and head position, the overall position of the shadow filter)

室内定位的源码，基于指纹定位的算法，把指纹存储在数据库在，然后在在线阶段根据收到的wifi信号，蓝牙信号，手机基站信号作为一个向量与数据库中存储的指纹匹配，匹配距离最短的就是指纹数据对应的位置(Indoor positioning source, location-based fingerprint algorithm, fingerprint stored in the , then in the online stage according wifi signal, Bluetooth signals, cell phone base station signals received as a vector in the matches the stored fingerprint, matching the shortest distance is a position corresponding to the fingerprint data)

说明：  VC的一些工程案例，包括车牌识别，人脸识别，图像处理基本操作等(car license recognization system)

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.)

说明：  可支持手写数字识别，r和python两种语言编写，生成画板鼠标手写输入，也支持上传图片(Handwritten digit recognition)