shuzi

数字识别PCA方法，对其它图像同样适用，程序简便。(Digital identification PCA method, on the other images of the same application, the program is simple.)

读取avi视频，并进行帧间差分法运算，检测运动目标(Read the avi video, and make inter-frame difference method for computing, moving target detection)

实现粘连分割，对有粘连的物体分割效果很好，使用了局部极值结合分水岭算法(Achieve adhesion segmentation, to have adhesion object segmentation effect is very good, the use of the local extremum combined with watershed algorithm )

说明：  这是一个用C++语言实现一个指纹识别程序，要求满足FVC国际竞赛标准，并在学校建立的指纹库上实测。程序里应用到的技术有：中值滤波、直方图均衡化、脊线方向提取、Gabor滤波、指纹细化、特征提取、特征点过滤、基于局部特征点的特征匹配(This is a C++ Language realization of a fingerprint identification procedure, the requirements FVC meet international competition standards, and established in the school library on the measured fingerprint. Program applied to the technology are as follows: median filter, histogram equalization, the direction of the ridge line extraction, Gabor filtering, fingerprint thinning, feature extraction, feature point filtering, based on local feature points of the feature matching)

《数字图像处理（第三版）》课后习题答案，作者冈萨雷斯(Answers to Exercises after Class of Digital Image Processing (Third Edition),author Gonzalez)

第二代曲波多聚焦图像融合的MATLAB源代码(the second generation curvelet for multifocus image fusion)

说明：  用POCS方法对图像进行超分辨率重构，matlab源码，有解释(POCS method using super-resolution reconstruction of images, matlab source code, to explain)

采用预处理的CG算法求解Hilbert矩阵，求解1000阶及以上的方程组。预处理矩阵分别采用3对角线、5对角线以及在对角线上分割小块矩阵的矩阵。可以任意设置收敛精度，简单实用。(CG algorithm for solving Hilbert matrix preconditioning, 1000 order and above solving equations. Diagonal matrix were pretreated with 3, 5 and in the diagonal matrix, the diagonal matrix of divided pieces. Can be set convergence precision, simple and practical.)

基于SURF算法的图像拼接程序，执行效率高于SIFT算法(Executive efficient than SIFT algorithm based on the the SURF algorithm of image stitching procedure)

对模糊图像进行复原（代码中样例）后，进行ISNR值的计算。由于复原后图像和原图像可能存在对齐问题，而该对齐问题不影响复原结果的主观效果，因此该代码首次考虑这一问题并给出相应的图像对齐及ISNR计算方法。(Restoration of blurred images (sample code), the calculation ISNR values. Due to possible alignment problems and the restored image after the original image, and the alignment problem does not affect the results of the subjective effects of recovery, so the code for the first time to consider this issue and the corresponding image alignment and ISNR calculation.)