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基于高斯混合模型的图像分割程序,结合OpenCV,包括OTSU、金字塔分割、自适应阈值分割-Image segmentation program based on Gaussian mixture model, combined with OpenCV, including OTSU, pyramid segmentation, adaptive thresholding
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1.分水岭分割成区域块
2.高斯混合模型聚类
3.区域合并-1 watershed area is divided into blocks of 2 Gaussian mixture model clustering 3 region merge
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Texture Synthesis using a gaussian mixture model
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高斯混合模型,概率统计知识,用于图像处理-Gaussian mixture model, probability and statistics knowledge, used in image processing
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高斯混合模型的核心计算方法,matlab里可直接调用-Core calculation method based on Gaussian mixture model, matlab years can be called directly
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背景建模 混合高斯模型 opencv代码和matlab代码-Background modeling Gaussian mixture model opencv code and matlab code
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混合高斯模型的图像处理C++程序需要加载opencv头文件-Gaussian mixture model of c++ image processing program needs to be loaded opencv header files
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对红外热感相机采集的图像进行处理,采用混合高斯模型进行前景提取,实现对画面里人的跟踪-Infrared thermal camera captured images are processed using Gaussian mixture model foreground extraction, to achieve the picture tracking
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针对摄像机固定下的复杂背景环境,对采集到的视频图像的图像数据用混合高斯背景建模方法实现前景/背景分割,实现运动目标检测和跟踪。在进行前景检测前,先对背景进行训练,对图像中每个背景采用一个混合高斯模型进行模拟,每个背景的混合高斯的个数可以自适应。然后在测试阶段,对新来的像素进行GMM匹配,如果该像素值能够匹配其中一个高斯,则认为是背景,否则认为是前景。由于整个过程GMM模型在不断更新学习中,所以对动态背景有一定的鲁棒性。最后通过对一个有树枝摇摆的动态背景进行前景检测,取得了较好的效果。-For c
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Expectation Maximization (EM) Algorithm for Gaussian Mixture Model
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基于EM算法实现的高斯混合模型数据分类,可以很优秀的对各种数据进行聚类分析,R语言实现-EM algorithm based on Gaussian mixture model data classification, can be very good for a variety of data clustering analysis, R language
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红外视频运动物体目标跟踪及检测——高斯混合模型-Gaussian mixture model approach
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高斯混合模型GMM的C++实现
在高斯混合模型中需要使用概率更新参数的地方,程序中都简化成为了1处理,否则计算一个正态分布的概率还是挺花时间的。但是除了将概率换成1,其他地方还是严格按照公式的,大家可以仔细推导一下,就会看出其中的差异-
Gaussian mixture model GMM C++ implementation
In the Gaussian mixture model parameters need to use probability to upd
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本文介绍了基于MATLAB的语音识别系统,包括对语音信号的特征提取,包括语音信号的特征提取,快速傅立叶变换,离散余弦转换,线性预测分析,梅尔频率倒谱系数以及高斯混合模型。-This paper aims at development and performance analysis of a speaker dependent speech recognition
system using MATLAB® . The issues that were considered are 1
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使用混合高斯模型对肝脏CT图片分四类,并显示分类结果。-Using Gaussian mixture model for liver CT images divided into four categories, and displays the classification results.
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matlab code for EM algorithm for Gaussian mixture model
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对采集的视频图像序列进行基于混合高斯模型的背景建模,随着背景的不断更新,提取出的背景效果越来越好,但该方法不适合背景变化剧烈的场景。-Video capture image sequences based on background modeling Gaussian mixture model, with the background of constantly updated, the extracted background effect is getting better, but th
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matlab m文件 EM算法混合高斯模型-matlab m file EM algorithm Gaussian mixture model
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Expectation Maximization algorithm for Gaussian Mixture Model Training
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matlab中的高斯混合模型代码,机器学习基础学习-Gaussian mixture model matlab code, machine learning based learning
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