搜索资源列表
CvBSLibGMM
- 改进的高斯混合模型用于运动目标的检测和分割,利用C++和matlab混合编程.-Improved Gaussian mixture model for moving object detection and segmentation, the use of C++ and matlab programming mixed.
Test
- 比较综合的数字图像处理程序，涉及图像另存、阈值分割、图像旋转、高斯平滑等功能-Comparison of integrated digital image processing procedures involved in the Save image, threshold segmentation, image rotation, such as Gaussian smoothing function
GKIT
- 基于广义高斯模型的自动阈值选取(GKIT)，用于图像分割、图像分类。-GKIT：Threshold Selcetion Based on the Generalized Gaussian Models，for image segmentation and classification
basedoncolorsegment
- 为了提高非结构化道路识别算法的有效性,提出了一种道路分割的新方法,建立了道路区域和非道路区域混合高斯彩色模型,根据像素隶属于彩色模型的概率进行基于彩色信息道路 -In order to improve the effectiveness of unstructured road recognition algorithm presents a new method of road segmentation and establish the way of regional and off-roa
20100107
- 一种基于高斯混合模型的距离图像分割算法。-Based on Gaussian mixture model for image segmentation
GMMS
- OPENCV下基于高斯混合模型的图像分割，程序中还有 基于大津法的图像分割和金子塔分割。-OPENCV Based on Gaussian mixture model of image segmentation, the program also includes Otsu method based on image segmentation and the segmentation pyramid.
colour-cut
- 1.CENTER:计算建立高斯模型需要的均值； 2.CHROMADIST:绘肤色点分布图 3.COLORDISTPLOT:绘高斯模型图 4.FACE:RGB空间直接分割，效果不太理想，不用。 5.ZHIFANGTU:灰度直方图 6.SKINMODEL:建立肤色模型 7.SEGMENTSKIN:根据建立的肤色模型进行分割：包括区域标记，面积，比例筛选 8.其它为相关子程序。-colour cut
LiuMixGauss
- 混合高斯模型背景建模，适用于视频跟踪，目标分割。 -GMM background modeling for video tracking, object segmentation.
gmm2n
- 集合混合高斯模型的图像目标分割算法的VC实现-Gaussian mixture model for image set goals to achieve segmentation algorithm VC
YCbCrGaussian_Sun
- 这个程序用来统计被训练的肤色在YCbCr空间的聚类情况，从而建立一维高斯模型，进行肤色分割。-Statistics and observe various color space of 1-d gaussian clustering including Y Cb Cr。
smooth
- 基于高斯函数的平滑滤波，是一种图像分割的自适应FKCN方法。包含了原始文献。-Smoothing based on Gaussian function, is a method of image segmentation adaptive FKCN. Contains the original article.
New-Iterative-Method(DIY)
- 可实现，实用，迭代法（新创新），基于改进的迭代法图像分割算法（源码）， 核心思想：先添加高斯噪声，然后新迭代分割算法，最后显示自动计算的阈值。 -Can realize, practical, the iterative method (new innovation), the iterative method based on improved image segmentation algorithm (source), core ideas: first add gaussian no
GMM3
- 基于混合高斯模型的运动目标检测，能实时检测出完整运动前景，是本人对原来的高斯模型的改进-Gaussian mixture model based motion detection, real-time full motion detection prospects are my original Gaussian model improvements
mixture_of_gaussians
- 这个程序是基于混合高斯背景模型的运动目标检测算法，m文件和所用视频放到matlab的工作目录下即可运行-This program is based on the Gaussian mixture background model of moving target detection algorithm, m, and used video files into matlab working directory to run
21
- 21.【高斯处理视频并跟踪运动做前景背景分割】bgfg2(21. [Gauss processing video and tracking movement, foreground background segmentation] bgfg2)
高斯混合模型GMM-latentSpace-v2.0
- 用于背景建模实现视频运动目标分割 与目标跟踪算法(For background modeling, video moving object segmentation and object tracking algorithm)
BackGround-Fore-Detect
- 包含一些常见的运动目标检测算法，有背景模型算法，混合高斯模型算法，帧差法，经典的CB法，所有源码皆可运行。(This package include some common Moving Object Detection algorithm.Such as the BgModel,CodeBook and Gaussian-mixture-model.)
rgbwork
- 用于RGB图像分割（基于三维高斯贝叶斯）(For RGB image segmentation (based on 3-D Guess Bayesian Decision Theory))
高斯处理视频并跟踪运动做前景背景分割
- 采用opencv 高斯处理视频并跟踪运动做前景背景分割(Gauss processes video and tracks motion to do foreground and background segmentation.)
基于高斯模型的肤色建模与似然图计算
- 基于肤色的人脸分割，对图像进行预处理后建立模型(Face segmentation based on skin color)