搜索资源列表
fc5j_EM_matlab
- em算法求解混合高斯模型,适合图像处理中,对象分割-em algorithm Gaussian mixture model suitable for image processing, object segmentation
SkinSegment
- 自己编的程序,有gui界面给出结果的。这是个自己建的皮肤高斯模型,通过训练的到的阈值。在ycbcr域对皮肤区域进行了分割。-developed procedures, gui interface is the outcome. This is a build their own skin Gaussian model, the training of the threshold. Ycbcr domain in the region of the skin segmentation.
VideoObjectSegmentation
- 时空联合的视频对象分割,时域采用多帧帧差,形态学处理和高斯聚类,空域采用小波变换和分水岭变换。时域分割的模板与空域分水岭变换的结果融合得到最终的分割结果。-joint space-time video segmentation, multi-domain when displayed poor handling and morphology Gaussian clustering, airspace wavelet transform and watershed transformation.
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
markov
- 基于高斯混合模型markov树算法的图像分割-Gaussian mixture model based markov tree algorithm for image segmentation. . .
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
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.)
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.)
GMM-HMRF_v1.1
- 高斯混合模型 马尔科夫 image segmentation MRF GMM GMM ICM(Gauss mixture model)
automatic_image_segement
- 本文以k-means算法为背景,引入信息熵相关知识,从而实现全自动分割图像。然而在利用混合高斯模型对图像进行数据分析时,会发生一定的过拟合现象,导致我们得不到预期的聚类数目。本文设计合理的合并准则,令模型简化,有效地消除过拟合现象,使得最后得到的聚类数目与预期符合。,设计合理的准则改进了图像的全自动分割方法,使得分割结果更加优化(In this paper, k-means algorithm is used as the background, and information entropy
GMM-HMRF
- 基于高斯混合模型和隐马尔科夫模型的图像分割算法(Image segmentation algorithm based on Gaussian mixture model and hidden Markov model)