DigitalImageProccessexperiment

WPF网络流量仪表盘

基于像素点的全局阈值法求图像的分割 实现方法有五种： 最小极值法，最优阈值法，最大方差方法，最大熵法，迭代法(Pixel-based global threshold method for image segmentation method there are five: the smallest extreme value method, the optimal threshold method, the largest variance method, the maximum entropy method, iterative method)

本文提出了一种新的快速自适应加权中值滤波算法以提高中值滤波算法的性能。(A new fast adaptive weighted median filtering algorithm is proposed to improve the performance of the median filtering algorithm.)

文献，基于融合和聚类的遥感图像变化检测技术(Literature, based on remote sensing image fusion and change detection clustering technology)

可根据需要自定义窗口形状，用于各种特效窗口开发(Customizable window shape, for a variety of special effects needed to develop window)

对图像进行灰度处理，乘除处理法处理，加法处理，减法处理(Gray scale, multiplication and division of image)

光伏逆变系统中的最大功率点跟踪算法，采用的是电导增量方法，采用s函数编写，可用simulink载入使用。(maximum power point tracking method in photovoltaic system, this algorithm is written by s-function method and using the incremental conductance method.)

说明：  本设计是基于MATLAB GUI界面的特效处理系统。配一篇配套论文。探讨了包括色彩调整、代数运算、几何运算、滤镜效果、艺术效果、扭曲效果和风格化七个模块的处理。色彩平衡可以按照特定要求改变图像中每个像素的亮度值；代数运算可以对两幅图象进行代数运算；几何运算可以对图象进行简单的形状处理；滤镜效果是针对相临像素间的关系来处理每个像素，达到一种特殊的效果。艺术效果是可以将图象加工成精美的“艺术品” ；扭曲效果可以对图像进行变形处理；风格化属于破坏性滤镜，通过置换像素生成绘画或印象派的效果。(This design is a special effect processing system based on Matlab GUI interface. With a supporting paper. The processing of seven modules including color adjustment, algebraic operation, geometric operation, filter effect, artistic effect, distortion effect and stylization are discussed. Color balance can change the brightness value of each pixel in the image according to specific requirements; algebraic operation can carry out algebraic operation on two images; geometric operation can carry out simple shape processing on the image; filter effect is to deal with each pixel according to the relationship between adjacent pixels to achieve a special effect. The artistic effect is that the image can be processed into exquisite "artworks"; the distortion effect can deform the image; stylization belongs to destructive filter, which can generate painting or Impressionist effect by replacing pixels.)

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).)

M-s中的CV方法( CV)