搜索资源列表
EM_GM
- ％ EM algorithm for k multidimensional Gaussian mixture estimation ％ ％ Inputs: ％ X(n,d) - input data, n=number of observations, d=dimension of variable ％ k - maximum number of Gaussian components allowed ％ ltol
111
- 高斯白噪声在matlab上的应用,及其原代码. -Gaussian white noise in matlab application, and the original code.
EMyu
- 最近在做毕设，是有关高斯混合模型的算法，主要采用EM算法，这片硕士论文在这方面介绍的比较详细，可以去下载研究下。-Recently completed the set up to do, is the Gaussian mixture model algorithm, the main use of EM algorithm, this Master
Guass
- 该代码功能：用高斯函数对图像进行平滑处理-The code functions: Gaussian function used for image smoothing
m2html
- GMMBayes Toolbox Feature Representation and Discrimination Based on Gaussian Mixture Model
gmmbayestb-v1.0
- GMMBayes Toolbox Feature Representation and Discrimination Based on Gaussian Mixture Model
SingalGaussian
- 自己写的运动检察的单高斯背景建模，c++代码-Write their own sports procuratorial single Gaussian background modeling, c++ Code
gkde
- Gaussian Kernel Density Estimation with Bounded Support
20081004
- GMM 混合高斯自适应背景维护 可以用来做行人检测 等-GMM Gaussian Mixture adaptive background maintenance can be used to make the pedestrian detection
yuchuli
- 图像预处理：图像灰度化、高斯平滑、均衡直方图、图像对比度增强-Image Pre-processing: Image of gray-scale, Gaussian smoothing, balanced histogram, image contrast enhancement
watershed
- 图像预处理：分水岭分割算法，图像灰度化、高斯平滑、均衡直方图、图像对比度增强-Image Pre-processing: a watershed segmentation algorithm, images of gray-scale, Gaussian smoothing, balanced histogram, image contrast enhancement
BackgroundSubtraction
- 减背景算法，基于背景建模的方法获取前景目标，采用高斯混合模型-By the background algorithm, based on background modeling method to get the prospect of goals, the use of Gaussian mixture model
634982CSharpFilters
- C#写的滤波程序 可以做高斯滤波等-C# to write filtering procedures, the usual source image processing are written by the VC, this is C#, can do Gaussian filter -C# Filtering procedure can be written to do Gaussian filtering-C# To write
GAUSSIAN
- 对图象躁声的处理存在一个平滑和锐化的矛盾。躁声在图象中对于高频部分的贡献比正常数据要大，也就是说它与它周围的象素存在“突变”，这就是我们平滑的原因。但是“突变”也可能是边界，只进行平滑可能会模糊边界，得到不满意的结果。“锐化”就是为了突显边界，这两者之间存在一个权衡。本程序以8位的BMP图，和未知的高斯噪声为例子。为了能有效的验证算法的正确性，先写给出制造高斯躁声的程序（可以调节方差），然后给出有效的消除高斯躁声的算法。程序的编译运行的
matlabdesigning1
- 产生一均匀分布的白噪声信产生均匀分布的白噪信号，使均值为0，功率为p号u(n),画出其波形，并检验其分布情况，产生零均值功率0.1且服从高斯分布的白噪声，sinc信号，chirp信号，线性卷积-Generate uniformly distributed one letter of the white noise generated uniformly distributed white noise signal, so that th
RLS_RF3
- 应用自适应的干扰对消法去除高斯白噪声，程序中给出两种相关噪声产生的方法，第一种只有一个噪声是随机产生的，第二种两个噪声都是随机产生的。程序中给出了去噪后信噪比和均方差的增益。-Application of adaptive interference cancellation method to remove Gaussian white noise, the procedure given in the relevant noise g
Bayesian_Classification_with_Gaussian_Processesl.p
- Bayesian Classification with Gaussian Processes.pdf文章的实现代码-Bayesian Classification with Gaussian Processes.pdf article, the realization of the code
PyramidSegment
- 基于高斯金字塔算法的分割程序。可以手动调整分割阈值，以达到需求的效果。-Gaussian pyramid algorithm based on segmentation procedures. Can manually adjust the segmentation threshold in order to meet the demand for results.
gmm
- 混合高斯模型是一种比高斯模型更好的背景建模方法-Gaussian mixture model is a better model than the Gaussian background modeling method
shendutuxiang
- 由生成的深度图象数据用平滑算子和差分方法求曲面的高斯曲率和平均曲率-By the depth of image data generated by a smooth operator and the difference method for the Gaussian curvature surface and the average curvature