图像增强

压缩感知中利用增广拉格朗日方程解最小稀疏正则化的恢复算法(DAL solves the dual problem of (1) via the augmented Lagrangian method (see Bertsekas 82). It uses the analytic expression (and its derivatives) of the following soft-thresholding operation， which can be computed for L1 and grouped L1 (and many other) sparsity inducing regularizers. If you are interested in our algorithm please find more details in our technical report or in my talk at Optimization for Machine Learning Workshop (NIPS 2009).)

说明：  通过选取初始种子点，进行图像的阈值分割，通过对比计算该点8领域灰度值是否符合阈值条件来对图像边缘进行分割(The image edge is segmented by choosing the initial seed point and comparing the gray value of the 8 domains of the point with the threshold condition.)

可以用来计算MTF值，用matlab编写的，数据文件需要为Excel格式。(MTF can be used to calculate the value, using matlab prepared.)

鼠标滑动截图，截图后 点击winform其它位置 则将图片黏贴到相应位置

基于C++的人脸分割的设计，C／Ｃ++语言、数字信号处理，最好选修过“数字图像处理”。(Based on the C++ face segmentation design, C/C++ language, digital signal processing, the best elect digital image processing.)

说明：  ICP模型配准有二维三维两种方式，简单好用(ICP RIGID EASY 2 DIMENSION 3 DIMENSION)

文件包提供小波变换的vc实现，包含基于小波变换的图像小波域分析，为后续处理提供参考(Package provided by wavelet transform vc realize that contains the image based on wavelet transform wavelet-domain analysis, provide a reference for follow-up treatment)

说明：  MSRCR的一种相关简单算法，和自己的一点改进算法，使用平台为MATLAB(A simple algorithm of MSRCR and its own improved algorithm, using the platform of MATLAB)

图像分割关系到目标识别的精度，是目标检测的关键一步，其中提供了一些图像分割的代码，主要为otsu算法的分割方法，很实用(s related to the accuracy of target recognition, image segmentation is a critical step in target detection, provides some image segmentation code, very useful)

对图像进行模糊处理前的第一步设计操作，然后进行加强滤波处理(Fuzzy image processing operation prior to the first step in the design and then proceed to strengthen the filter processing)