matlab

non-local means denoising 自己实现的非局部均值图像去噪的原始算法，对理解算法原理有一定帮助(Non-local means denoising： an implementation of the non-local means denoising of the original algorithm, some help understanding algorithm)

Information of transform watershed

a file abaut image segmentation

说明：  包含主要的相位恢复算法，用于解决相位恢复问题，在计算光学成像领域被广泛使用。(This code includes conventional phase retrieval algorithms designed for phase retrieval problems, which is widely used in computational optical imaging.)

Split Bregman算法 各向同性，各向异性 图像去噪(Split Bregman algorithm TV model image denoising)

BSCB模型用于图像修复，模仿人工修复的过程，利用PDE的方式(BSCB model for image restoration, to imitate the artificial restoration process, the use of PDE way)

计算局部形状描述符梯度方向直方图（HOG），直接输入图像即可用。(Calculate the local shape descriptors gradient orientation histogram (HOG), the input image can be used directly.)

VMD分解阈值去噪，进行极优模态分量的选择(VMD decomposition threshold denoising, selection of very excellent modal components.)

用Visual C++实现Hough变换(Using Visual C++ Achieve Hough Transform)

对加载的图像进行灰度处理，简单处理matlab程序，效果不错，利于后面对图形进一步加工处理(Gray-scale processing of loaded images)