zhezhongThreshhold

基于PCA主成分分析算法和Yale人脸数据库，采用Matlab语言实现的人脸识别程序，整个程序分为预处理、训练、识别、GUI界面控制等几个模块，注释清晰，通俗易懂。(Based on PCA principal component analysis algorithm and Yale face database, the face recognition program is implemented in Matlab language. The whole program is divided into several modules, including pretreatment, training, recognition, GUI interface control and so on. The annotation is clear and easy to understand.)

基于SVD和混沌加密的DWT。程序里包含了直方图攻击，锐化，剪切，高斯噪声等攻击。(Based the SVD and chaotic encryption DWT. The program contains a histogram attack, sharpening, shear, Gaussian noise attack.)

为GABOR小波的详细MATLAB实现代码，详细分析了该小波的各种性能()

说明：  医学图像资源 内含150张512*512乳腺癌图源 可用来医学图像学习实践(Medical image resource containing 150 512* 512 breast cancer map sources can be used to study and practice of medical image)

SIFT代码，多用于图像拼接，匹配精度高(sciences code used for image stitching, matching high accuracy)

通过将三维图像投影成2维ddr图像来实现2D-3D图像配准(By three-dimensional image projection into 2-D images ddr to achieve 2D-3D Image Registration)

利用MATLAB的图像用户界面GUI设计一个简单的菜单式图像处理系统。通过该程序实现对图像的简单处理、变换和去噪等功能，满足课程设计的要求。(A simple menu image processing system is designed by using the image user interface GUI of MATLAB. Through this program, the functions of image processing, transformation and denoising are realized, which meet the requirements of curriculum design.)

文献 "Deblurring Text Images via L0-Regularized Intensity and Gradient Prior" 的参考代码 用Lp正则化方法做盲复原的代码 demo_text_deblurring 是主函数(refer to "Deblurring Text Images via L0-Regularized Intensity and Gradient Prior" main function: demo_text_deblurring)

于轻小型光学成像系统，小孔径限制了 图像的极限分辨率，衍射退化造成了截止频率外信息的丢失成像系统所期望的 大视场不可避免的带来边缘视场的像差恶化，各视场退化情况不同，影响信息的 判读 (Small light optical imaging system, the small aperture limit the ultimate resolution of the image, diffraction degradation aberration deterioration of the desired cutoff frequency outside the loss of information imaging system field of view inevitably bring the edge of the visual field, each referred to as field degradation, affecting the interpretation of the information)

通过对二维人脸图片的特征提取进行三维人脸的重建(Through the two-dimensional face image feature extraction for three-dimensional reconstruction of human faces)