edge_forcing

使用kmeans算法对图像进行分割，先对图像进行了rgb到lab的转换(Use kmeans algorithm for image segmentation, the first image of rgb to lab conversion)

classic goldstein filter by matlab for interferogram phase noise filtering(classic goldstein filter by matlab)

alpha稳定分布,密度函数图形，这较少出现。(alpha-stable distribution，picture of pdf,it s very rare)

共有5个代码其中4个分别实现图像的中值滤波、均值滤波、双边滤波、Lee滤波，另一个是求图像的均值和方差。模板均不固定自己根据需要确定合适的w值。(There are five codes of which four were achieved image median filter, mean filter, bilateral filter, Lee filter, and the other is seeking an image of the mean and variance. Templates are not fixed ourselves w appropriate values as needed.)

自己编写的数学形态学膨胀和腐蚀的matlab算法 适用于二值和灰度图象 (I have written mathematical morphology and corrosion expansion matlab algorithm for binary and gray-scale image)

各种图像质量评价方法，非常适合图像的客观质量评价。(All kinds of image quality uation method, it is very suitable for objective image quality uation.)

说明：  DNA编码方法，可以更有效的保护图像信息，提高加密系统的安全性。(DNA coding method can protect image information more effectively and improve the security of encryption system.)

才用CDD对灰度或者彩色图像进行修复的一种方法(Only with the CDD on the grayscale or color image restoration method)

Image AND Video Segmentation Current Status

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.)