ridgeorient

说明：  python实现双目立体匹配SGBM算法(SGBM algorithm for binocular stereo matching based on Python)

空时处理中的导向矢量产生matlab程序(Space-time processing matlab program steering vector generation)

描述OFDM高峰均功率比（PAPR)的CCDF曲线，用MATLAB仿真的结果(Description OFDM peak-average power ratio (PAPR) of the CCDF curve, the results of simulation using MATLAB)

说明：  通过拟合出一条曲线，对这个曲线进行结构函数法的分形维数计算，得到其粗糙度(By fitting a curve, the fractal dimension of the curve is calculated by structural function method, and its roughness is obtained)

采用的是基于弦中点的hough变换椭圆检测算法，大家可以在百度上搜这篇论文，由于不是用的标准hough变换的算法，所以运行速度还不错(Used is based on the midpoint of the chord hough transform ellipse detection algorithm, we can search on Baidu paper, because the algorithm is not used in standard hough transform, so the speed is also good)

用 MATLAB 语言实现图像的空域滤波 用 MATLAB 语言进行 FFT 及逆变换 MATLAB 提供的快速傅立叶变换函数(Spatial filtering of image using MATLAB language FFT and Inverse Transform with MATLAB Language Fast Fourier Transform Function Provided by MATLAB)

sift 图像特征提取算法源码，对研究sift算法很有帮助。(The source code of sift image feature extraction algorithm is very helpful to the research of sift algorithm.)

Histogram Histogram Histogram(The Histogram Histogram Histogram)

转：https://blog.csdn.net/jinshengtao/article/details/26278725 混合高斯背景建模是基于像素样本统计信息的背景表示方法，利用像素在较长时间内大量样本值的概率密度等统计信息(如模式数量、每个模式的均值和标准差)表示背景，然后使用统计差分(如3σ原则)进行目标像素判断，可以对复杂动态背景进行建模，计算量较大。 在混合高斯背景模型中，认为像素之间的颜色信息互不相关，对各像素点的处理都是相互独立的。对于视频图像中的每一个像素点，其值在序列图像中的变化可看作是不断产生像素值的随机过程，即用高斯分布来描述每个像素点的颜色呈现规律单模态(单峰)，多模态(多峰)(Gaussian mixture background modeling is a background representation method based on the statistical information of pixel samples. Statistical information such as the number of patterns, the mean and standard deviation of each pattern are used to represent the background. Statistical difference (such as 3_principle) is used to judge the target pixel. Complex dynamic background modeling has a large amount of computation. In the Gaussian mixture background model, it is considered that the color information between pixels is uncorrelated and the processing of each pixel is independent of each other. For each pixel in a video image, the change of its value in a sequential image can be seen as a random process that produces pixel values continuously, i.e. Gaussian distribution is used to describe the regularity of color rendering of each pixel in single mode (single peak) and multi-mode (multi-peak).)

格子波尔兹曼来实现图像修复，能够快速高效的实现图像修复(Lattice Boltzmann for image restoration, fast and efficient image restoration)