seg

说明：  采用walsh进行处理，所得图片效果比较理想(Processed by walsh, results from the ideal image)

仿射投影符号算法是仿射投影算法和符号算法的组合算法，具有良好的抗冲击噪声的能力。(Affine projection algorithm is a combination algorithm symbol affine projection algorithms and symbolic algorithms, have good impact noise capabilities.)

蚁群算法实现医学图像的分割，同时对比FCM算法，非常有用，可以直接运行，包含测试MRI图片(Ant-Colony algorithm for MRI image segmentation including MRI image for testing.)

提出了一种基于MAP的Markov随机场的图像融合方法(This paper proposes a method of Markov random field to classify the remote sensing images based on the maxi- mum a posteriori model)

说明：  C语言编写的程序,可以对图象进行中值滤波处理,效果不错,联系方式: QQ76947175(c program which can execute medeaval filter.good performance,contact with QQ76947175.)

说明：  通过利用“Otsu”方法对图像进行全局阈值分割处理。然后，将灰度图转化成二值图，为获得大豆颗粒计数和大小做准备。调用函数获得图像连通图的数量，并测量标注矩阵中每个标注区域的属性，获得每个标注区域的长度。最后通过寻找每个区域的重心数，即可统计出大豆的个数(The Otsu method is used to segment the image. Then, the gray-scale image is transformed into a binary image to prepare for the soybean particle count and size. Call the function to get the number of connected graphs, measure the attributes of each annotation region in the annotation matrix, and get the length of each annotation region. Finally, the number of soybean can be calculated by finding the number of barycenters in each region)

模式识别中高斯模型，一个比较有用的用matlab实现的程序代码(pattern recognition Gaussian model, a useful comparison with the realization of the Matlab code)

图像编辑控件，图像编辑控件图像编辑控件图像编辑控件(Image Edit Control)

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.)

说明：  人脸识别提出的LBP特征计算程序，简单实用的特征，可以得到统计的直方图特征(LBP features of face recognition proposed by the calculation procedure, simple and practical features of the histogram statistics can be characteristic of)