一、课题介绍
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。
二、基本流程
读入图片，人脸定位，人脸分割，人脸识别，库内外报警
三、运行截图[要求有一定编程功底，懂得简单调试，看得懂框架，懂算法，小白需要时间更久点]
This topic is based on the MATLAB platform PCA face recognition image attendance system. The traditional face recognition is the direct head and head of the comparison, the practical significance is not great, this is done rotten, not easy to pass the final defense, and the paper is not easy to write. The recognition principle of this project is: find the face from a pair of life photos, segment the face image, use PCA algorithm to reduce the dimension, compare with the library image, output the target face and record the recognition time, so as to count the frequency of face punch in the month, so as to count the attendance rate. The subject can also continue the secondary development to make face recognition inside and outside the library. If it is a face outside the library, the alarm will be realized. The GUI interface has the function of clearing data and calculating wages. (2020-08-07, matlab, 424KB, 下载6次)
利用MATLAB强大的科学计算功能和绘图能力，对小球在弹簧顶端木块上的弹性跳动进行计算机仿真，在不计空气阻力和要计空气阻力两种情况下的分析，通过拉格朗日方程求解运动微分方程，再通过MATLAB编程，调试，运行，准确的描绘小球跳动效果图。在物理教学中适当引入相似的计算机数值模拟仿真的研究方法。
Using the powerful scientific calculation function and drawing ability of MATLAB, this paper simulates the elastic jump of the ball on the wood block at the top of the spring by computer. It analyses the elastic jump of the ball in two cases, including air resistance and required air resistance, solves the differential equation of motion by Lagrange equation, and then programms, debugs and runs accurately by MATLAB. Describe the bouncing effect of the ball. Similar methods of computer numerical simulation are appropriately introduced in physics teaching. (2018-11-27, matlab, 1KB, 下载2次)
数字图像处理（MATLAB版）
本书是把图像处理基础理论论述与软件实践方法相结合的第一本书，它集成了冈萨雷斯和伍兹所著的《数字图像处理》一书中的重要内容和mathworks公司的图像处理工具箱。本书的特色在于它重点强调了怎样通过开发新代码来增强这些软件工具。本书在介绍matlab编程基础知识之后，讲述了图像处理的主要内容，具体包括亮度变换、线性和非线性空间滤波、频率域滤波、图像复原与配准、彩色图像处理、小波、图像数据压缩、形态学图像处理、图像分割、区域和边界表示与描述以及对象识别等。
Digital Image Processing (MATLAB version) This book is based on the theory of discourse and image processing software practices combined with the first book, which integrates Gonzalez and Woods book " Digital Image Processing" an important book content and mathworks company' s image processing toolbox. The book features is that it focuses on how through the development of new code to enhance these software tools. This book introduces the basics matlab programming, tells the main content of the image processing, specifically including brightness transform, linear and nonlinear spatial filtering, frequency domain filtering, image restoration and registration, color image processing, wavelets, image data compression, morphological image processing, image segmentation, regions and boundary representation and description, and object recognition. (2013-05-23, matlab, 10318KB, 下载6次)
1 打开一个BMP文件，将其局部区域的灰度值进行改变，另存为一个新的BMP文件，要求显示出原BMP图像和新BMP图像。
2．编程实现图像傅立叶高通、低通滤波。
3.打开一幅图像，添加椒盐、高斯噪声，然后使用邻域平均法、中值滤波法、K邻近平均法进行平滑
4.打开一幅图像，利用Roberts梯度法、Sobel算子和拉普拉斯算子进行锐化，并比较结果。
5.编写一个程序，对输入的图像进行哈夫曼编码，显示原图像的熵、编码后的平均码字长度、并能够根据编码重建出图像
6.在图像中生成一个矩形，然后用模板匹配法找出矩形位置。使用SSDA或改进的SSDA法。
1) open a BMP file, change the gray values of its local area, and save it as a BMP file, the request shows the original BMP images and BMP images.
2. Programming image Fourier high-pass, low-pass filtering.
3 Open an image, add salt and pepper, Gaussian noise, and then use the neighborhood average, median filter, K adjacent average method for smoothing
4 Open an image using the Roberts gradient method, Sobel operators and Laplacian sharpening for, and compare the results.
5 to write a program, Huffman coding of the input image, the display of the original image entropy, and the average code word length of the encoded, and be able to reconstruct the image according to the coding
6. Generate a rectangle in the image, and then use the template matching method to identify the position of the rectangle. Using SSDA or improved SSDA method. (2012-12-09, matlab, 888KB, 下载47次)
数字图像处理(DigitalImageProcessing)是通过计算机对图像进行去除噪声、增强、复原、分割、提取特征等处理的方法和技术。数字图像处理的产生和迅速发展主要受三个因素的影响：一是计算机的发展；二是数学的发展（特别是离散数学理论的创立和完善） 三是广泛的农牧业、林业、环境、军事、工业和医学等方面的应用需求的增长。
MATLAB和Mathematica、Maple并称为三大数学软件。它可以进行矩阵运算、绘制函数和数据、实现算法、创建用户界面、连接其他编程语言的程序等，主要应用于工程计算、控制设计、信号处理与通讯、图像处理、信号检测、金融建模设计与分析等领域。
Digital image processing (DigitalImageProcessing) is a computer image noise removal, enhanced recovery, segmentation, and processing methods and techniques for extracting characteristics. Generation and rapid development of digital image processing is mainly influenced by three factors: first, the development of the computer mathematical development (in particular, the founder of the theory of discrete mathematics and perfect) Third, a wide range of agriculture and animal husbandry, forestry, environment the growth of the demand for military, industrial and medical applications. MATLAB and Mathematica, Maple and called three mathematical software. It can carry out the matrix operations, drawing functions and data, implementation algorithm to create a user interface, connected to other programming languages, procedures, mainly used in engineering calculations, control design, signal processing and communications, image processing, signal detection, financial modeling design analysis a (2012-12-08, matlab, 19495KB, 下载25次)
下载并读入被噪音污染的Noisychurch图像数据，用Matlab 编程采用下述方法分
别实现该图像的增强操作：
1） 用空域法实现图像的增强，分别采用如下模板操作：2x2 和3x3 的幅值为1
的模板，比较去噪和模糊的折中效果；采用3x3 的中值滤波器进行去噪操作；
采用Laplacian 模板[0 -1 0 -1 5 -1 0 -1 0]进行锐化操作。
2） 用频域法实现该图像的低通和高通滤波，选择合适的截止频率。
3） 用小波分析法实现该图像的低通和高通滤波，注意离散小波分析的分解和重
构算法的运用。
4） 比较上述三种处理方法的结果。
Download and read by the noise pollution Noisychurch image data using Matlab programming using the following method to achieve the image enhancement operation: 1) image enhancement airspace law, respectively, using the following template operation: 2x2 and 3x3 amplitude a template comparison denoising and fuzzy compromise denoising operation with a 3x3 median filter using Laplacian template [0-10 -15-1 0-10] for sharpening operation. . 2) low-pass and high-pass filtering of the image using the frequency-domain method, select the appropriate cut-off frequency. 3) low-pass and high-pass filtering of the image using wavelet analysis, pay attention to the use of discrete wavelet analysis decomposition and reconstruction algorithm. 4) comparing the results of the three processing method. (2012-11-15, matlab, 2545KB, 下载52次)
将Radarsat2极化SAR图像数据转换为散射矩阵及相干矩阵T3的matlab代码,附上的图像文件是用Enviview软件截取转存的各通道实部虚部文件,以及lutsigma.xml查找表文件.作者辛苦所做,希望对SAR初学者有所帮助.
Will Radarsat2 polarization SAR image data is converted to T3 scattering matrix and the coherent matrix of matlab code, the attached image file is transferred Enviview software maintained by the interception of the real part imaginary part of the channel files, and lutsigma.xml lookup table file. Of the hard done, in the hope SAR to help beginners. (2010-09-26, matlab, 4047KB, 下载553次)
粒子滤波器是通过蒙特卡罗模拟来实现递归贝叶斯滤波，它不需要线性、高斯噪声的假设，适用于任何能用状态空间模型表示的非线性系统，比卡尔曼滤波器的适用范围广。这里给出了几个粒子滤波的matlab编程实例。
Particle filters are using Monte Carlo simulations to achieve the recursive Bayesian filtering, it does not require linear, Gaussian noise assumptions, can be used for any state-space model of nonlinear systems .It has a wider scope application than the Kalman filter . Here are a few examples of particle filter matlab programming. (2009-11-23, matlab, 11KB, 下载510次)