MSR

matlab下图像处理技术在智能交通中的应用 主要是小车的跟踪和标示(matlab image processing technology under the Intelligent Transportation System in the main car tracking and labeling)

说明：  基于空域的脆弱水印算法，该方法最具代表性的是最低有效位（LSB）法，也就是文件中的方法，两个文件分别给出了水印的生成和检测。(Airspace based on fragile watermarking algorithm, the method is the most representative of the least significant bit (LSB) method, which is the method of the document, two documents were given watermark generation and testing.)

该源代码是采用gui界面的多种图像融合算法的集合，融合后会产生清楚的图像,并比较融合质量(Gui interface using a variety of collection of image fusion algorithm)

检测前跟踪，使用phd方法，phd实现是检测前跟踪是最新技术，可以提高跟踪性能(Detected before tracking method using phd, phd implementation is detected before tracking is the latest technology that can improve the tracking performance)

图像融合的算法集锦，遥感图像的小波融合等(Image fusion algorithm Collection, remote sensing image wavelet fusion)

不均匀光照下的文字分割，综合运用同态滤波方法、Bernsen局部阈值法、边缘识别法。(Uneven illumination of the text segmentation, integrated use of homomorphic filtering methods, Bernsen local threshold, the edge identification method.)

USB Composit example for HID

在mmatlab中将多波段的遥感图像（三维矩阵数据）转换成二维数据，与求邻域(convert the 3D image data into the 2D data in the matlab)

说明：  该课题为基于MATLAB平台的PCA的人脸识别图像考勤系统。传统的人脸识别都是直接人头和人头的对比，现实意义不大，这块都做烂了，不易通过毕设答辩，而且论文不好写。该课题识别原理为：从一副生活照中寻找到人脸，并且分割人脸图象，利用PCA算法进行降维，和库里图片进行对比，输出目标人脸以及记录识别的时间，可以统计人脸打卡的当月次数，从而统计出勤率。该课题还可以继续二次开发，做成库内外人脸的识别，如果是库外人脸则实现报警。GUI界面有清除数据功能，统计工资等功能。(This project is based on the MATLAB platform PCA face recognition image attendance system. The traditional face recognition is the comparison of direct head and head, which is of little practical significance. This part is not easy to pass the final defense, and the paper is not easy to write. The recognition principle of this subject is: find the face from a living picture, segment the face image, reduce the dimension by PCA algorithm, compare with the library picture, output the target face and record the recognition time, and then count the number of times in the month when the face is punched, so as to count the attendance rate. The subject can also be further developed to make face recognition inside and outside the database. If it is outside the database, the alarm can be realized. The GUI interface has the functions of data clearing and salary statistics.)

用OSTU和KSW实现多阈值图像分割，matlab代码(Image Segmentation Using OSTU and KSW)