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code.rar
- 视频运动物体检测，采用混合高斯分布建立背景模型及差分方法对背景模型进行更新,Sports video object detection, adopt a mixed Gaussian distribution model and set up the background difference method to update the background model
gaussgradient
- 本算法是基于高斯分布的梯度边缘检测法，采用MATLAB实现-The algorithm is based on the Gaussian distribution of the gradient edge detection method, the use of MATLAB to achieve
NoiseGenerator
- 本实验要求根据课本中给出的高斯噪声和椒盐噪声的概率分布的形状和参数编写两个通用程序分别给一个图像中添加高斯噪声和椒盐噪声。高斯噪声是n维分布都服从高斯分布的噪声，椒盐噪声是图像中经常见到的一种噪声是一种随机的黑点或者白点。在实验中通过它们对应的概率密度函数得到噪声分布函数进而与原图像进行叠加产生出对应的噪声图像-Textbooks in this experiment are given under the Gaussian noise and salt and pepper noise in
mixture_of_gaussians
- 这是一个视频图像处理的程序，通过混合高斯分布来建立背景模型，并且提取了运动目标，效果不错！-mixture of gaussians
DrawGuassin
- matlab代码，描述了如何画高斯一维分布，和二维，三维以及高维分布，有产生高斯数据的matalb函数-matlab code，discr ipt how to draw a gaussian function and the code that produce the data for this fuction
DistridutionFunction
- 常见概率分布的随机数生成程序，包括均晕分布、高斯分布、对数正态分布、K分布、t分布、韦布尔分布。-Common probability distribution of the random number generation process, including both halo distribution, Gaussian distribution, lognormal distribution, K distribution, t distribution, Weibull distrib
xiaobo
- ．首先，建 立背景的混合高斯分布模型和阴影颜色模型，通过差分法提取前景区域并结合Gabor小 波纹理特征分析找出潜在的阴影点；然后通过阴影颜色模型对这些潜在的阴影点进行颜 色分析；最后通过后续处理，找出真正的阴影区域-. First of all, to establish the background Gaussian mixture distribution model and the shadow color model, by differential extraction
randomnumber
- 用C代码生成高斯分布的随机数和服从均匀分布的随机数 并生成文本文件-C code generation with Gaussian distribution of random numbers and uniform distribution of the random number and generates a text file
gauss_distributing
- 用matlab仿真高斯分布；先产生高斯分布，并用matlab显示-Matlab simulation with Gaussian distribution first of Gaussian distribution, and display using matlab
aboutgddmatlab
- 对广义高斯分布有个基本的认识，为以后的应用打下基础-The generalized Gaussian distribution have a basic understanding of lay the foundation for future applications
emcenter
- 我写的改进中心点的混合高斯分布的EM算法-I wrote to improve the center of the EM algorithm for Gaussian mixture
demo1
- 我自己写的关于二维混合高斯分布的EM算法-I wrote about the distribution of two-dimensional Gaussian mixture EM algorithm
em-three-preference
- 基于EM算法，可以估计在混合高斯分布下的三个参数-EM expection
ggd
- 一种广义高斯分布的参数快速估计法,实现GGD函数拟合-The parameters of a generalized Gaussian distribution fast estimation method to achieve function fitting GGD
clutter
- 雷达杂波仿真程序，仿真雷达瑞利分布、高斯分布、K分布等(Radar clutter simulation program, simulation radar, Rayleigh distribution, Gauss distribution, K distribution, etc.)
EM_GMM
- 用EM算法对混合高斯模型中的参数进行估计 一种改进的EM算法即Monte Carlo EM算法（MCEM）的一个简单例子(The parameters in the mixed Gaussian model are estimated by EM algorithm An improved EM algorithm is a simple example of the Monte Carlo EM algorithm (MCEM))
定点热源-循环编程求解的高斯光斑
- 分析激光打孔温度场-高斯分布，定点热源-循环编程求解的高斯光斑(Analysis of temperature field in laser drilling - gaussian distribution, solved by the fixed point heat source - cycle of gaussian light spot)
Guess
- 用m语言绘出高斯分布，并以GMM模型的简单例子来进行非曲线拟合。(The Gauss distribution is drawn in M language, and a simple example of the GMM model is used to do the non curve fitting.)
Gaussian
- 采用C语言模拟产生一组高斯分布的随机数字。(this is a Guassian of C language.)
Gaussian
- 假设图像服从高斯分布时，通过计算交叉熵，计算两幅图像的差异图像。(Change detection based on Gaussian distribution)