activecontourlevelset

详细介绍了K-SVD字典训练的详细过程，对稀疏表示研究很有帮助.(Detailed introduces the K- SVD dictionary of detailed training process, the sparse say that research to have the help very much. )

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.)

彩色图像的威纳滤波去噪算法，很简单的，很全，自己毕业论文的程序(Color image of the Wiener filter denoising algorithm, very simple, very full, their thesis program)

数字图像处理，边缘提取，分割，湖面面积计算matlab程序(Image processing, edge detection, segmentation, the lake area)

kpca的算法实现源码，实现了一个数据降维方面的经典算法kpca(kpca the algorithm source code, to achieve a data dimensionality reduction classical algorithm kpca)

MATLAB 编写的两种将灰度图二值化（多值亦可）的源程序，并付word说明。(it contains two methods which can change gray image to binary image (or multivalue image )in segments.)

说明：  在google earth engine云平台对影像进行自动分类提取，需要手动输入样本及研究区(Automatic image classification and extraction on Google Earth engine cloud platform requires manual input of samples and research areas)

对图像进行二值化处理的源代码，编译后的可执行文件须带参数运行),非常好的代码.欢迎使用和下载!呵呵,真的,不信下下看啊!(two pairs of images of the value of the source code, compile the executable files carry parameters run), very good code. welcome to download and use! Oh, really, do not look at the next letter ah!)

基于均值法的背景建模的前景目标提取。适合刚接触这一块的人。(Background modeling method based on mean foreground object extraction.)

黑塞矩阵（Hessian Matrix），又译作海森矩阵、海瑟矩阵、海塞矩阵等，是一个多元函数的二阶偏导数构成的方阵，描述了函数的局部曲率。黑塞矩阵最早于19世纪由德国数学家Ludwig Otto Hesse提出，并以其名字命名。黑塞矩阵常用于牛顿法解决优化问题，利用黑塞矩阵可判定多元函数的极值问题。在工程实际问题的优化设计中，所列的目标函数往往很复杂，为了使问题简化，常常将目标函数在某点邻域展开成泰勒多项式来逼近原函数，此时函数在某点泰勒展开式的矩阵形式中会涉及到黑塞矩阵。(Hessian Matrix, is a square matrix of the second order partial derivative of the multivariate function, which describes the local curvature of the function. The Hesse matrix was first proposed by the German mathematician Ludwig Otto Hesse in the 19th century and named after it. Hesse matrix is often used in Newton method to solve the optimization problem, using the black plug matrix to determine the extreme function of the extreme value problem.)