CS_ROMP

此文件是关于图像处理中灰度视频播放等相关知识的综合运用。(it is about the gray in image processing)

说明：  基于SURF算法实现图像特征提取与描述，使用RANSAC进行图像细配准(SURF algorithm was used to extract and describe image features, and RANSAC was used for image registration)

图像融合的质量评价指标，每个文件都有详细说明，每个指标都有相应的论文出处。亲测，可以使用。(Image quality uation of fusion, each file has a detailed description of each indicator has a corresponding paper source. Pro-test, can be used.)

压缩感知去噪代码，一种用于去噪的CS的有效代码，简单适用(Compressed sensing denoising code, one for denoising CS valid code, a simple application )

SAR成像处理的过程是从回波数据中提取目标区域散射系数的二维分布，本质上是一个二维相关处理过程,因此最直接的处理方法是对回波进行二维匹配滤波，但其运算量很大，再加上SAR的数据率本来就高，这使得实时处难于实现。通常，可以把二维过程分解成距离向和方位向两个一维过程，Range-Dopper Algorithm（简称RD算法）(SAR imaging process is two-dimensional distribution of the scattering coefficient of the target area extracted from the echo data, in essence, is a two-dimensional process, the most direct approach is two-dimensional matched filtering of echo, its computationalthe great plus on SAR data rate was high, which makes real-time processing is difficult to achieve. Typically, two-dimensional process can be broken down into the range and azimuth to a two-dimensional process, the Range-Dopper Algorithm. (Referred to as the RD algorithm))

zemax非序列下gaussian光束的matlab程序（包括zemax演示源文件）(zemax sequence under non-gaussian beam matlab program (including zemax demo source files))

Onvif设备搜索 示例源码

说明：  增广拉格朗日乘子法ALM算法是机器学习中十分常用且有效的一种优化算法，经常用于低秩和稀疏问题的优化求解中，这个包是增广拉格朗日乘子法的matlab代码(ALM algorithm of augmented Lagrange multiplier method is a very common and effective optimization algorithm in machine learning. It is often used in the optimization of low rank and sparse problems. This package is the matlab code of augmented Lagrange multiplier method)

He met her at a party. She was outstanding; many guys were after her, but nobody paid any attention to him. After the party, he invited her for coffee. She was surprised. So as not to appear rude, she went along.

简单写的一些图像预处理（灰度增强、小波高通滤波、LBP、迭代阈值分割、种子生长法etc）和RGB 、纹理（相关矩阵）特征提取(Write some simple image pre-processing (grayscale enhancement, wavelet high-pass filter, LBP, iterative threshold segmentation, seed growth method etc) and RGB, texture (correlation matrix) feature extraction)