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高斯混合模型是單一高斯機率密度函數的延伸,由於GMM 能夠平滑地近似任意形狀的密度分佈,因此近年來常被用在語音與語者辨識,得到不錯的效果。-Gaussian mixture model is a single Gaussian probability density function of the extension, as the GMM can approximate arbitrary smooth shape of the density distribution, it is ofte
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大津阈值分割法,也称最大类间方差法,利用图像的灰度分布密度函数定义图像的交叉熵。
交叉熵可看作是两个概率系统(即图像背景及目标)的信息量之间的差异。求出的交叉熵越大,则分割效果越好。
-Otsu threshold segmentation method, also known as Otsu method, the use of gray-scale image distribution density function definition images of cross-ent
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对图像进行中值金字塔分解后,分别求取各层的概率密度函数-Image after median pyramid decomposition, respectively, to strike all floors of the probability density function
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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
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数字图象处理教程
INTRODUCTION 4
DIGITAL IMAGE DEFINITIONS 5
COMMON VALUES 6
CHARACTERISTICS OF IMAGE OPERATIONS 7
TYPES OF OPERATIONS 7
TYPES OF NEIGHBORHOODS 8
VIDEO PARAMETERS 9
TOOLS 9
CONVOLUTION 10
PROPERTIES OF CONVOLUTION 10
FOUR
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在利用曲波对图像进行分解的基础上,提出了一种考虑不同尺度分量的曲波系数间是相互关联的系数概率密度函数(PDF)模型,不同尺度的系数选择依赖其父层系数的大小,从而保证在去除噪声的同时,保留图像的纹理边缘等细节信息,然后对图像进行重构-In the use of curvelet decomposition of the image is proposed based on a consideration of different scale components curvelet coeffici
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This paper is concerned with estimating a probability density function of human skin
color using a finite Gaussian mixture model whose parameters are estimated through the EM
algorithm.sections
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自行设计的概率密度函数统计方法,代替ksdensity函数-Probability density function of self-designed statistical methods, instead of ksdensity function
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背景建模和前景分割的方式把运动车辆提取出来。并进行最近临关联,输出目标轨迹。
MeanShift运动目标跟踪 matlab程序
1.截取跟踪目标矩阵rect
2.求取跟踪目标的加权直方图hist1
3.读取视频序列中的一帧, 先随机取一块与rect等大的矩形,计算加权直方图hist2。
4.计算两者比重函数,如果后者差距过大, 更新新的矩阵中心Y,进行迭代(MeanShift是一种变步长可以迅速接近概率密度峰值的方法),直至一定条件后停止。
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首先产生高斯分布,然后通过变换产生泊松分布的随机数,并画出概率密度函数的直方图-First, a Gaussian distribution, and then transform Poisson distributed random number generation, and draw a histogram of the probability density function
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首先产生高斯分布,然后通过变换产生瑞利分布的随机数,并画出概率密度函数的直方图-First, a Gaussian distribution, and then transform Rayleigh distributed random numbers, and draw a histogram of the probability density function
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高斯混合模型算法实现c++,高斯混合模型就是用高斯概率密度函数(正态分布曲线)精确地量化事物,它是一个将事物分解为若干的基于高斯概率密度函数(正态分布曲线)形成的模型-Gaussian mixture model algorithm c++, Gaussian mixture model is a Gaussian probability density function (normal distribution curve) to accurately quantify things, it
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高斯混合模型就是用高斯概率密度函数(正态分布曲线)精确地量化事物,它是一个将事物分解为若干的基于高斯概率密度函数(正态分布曲线)形成的模型。-Gaussian mixture model is to use the gaussian probability density function (gaussian distribution curve) accurately quantify things, it is a to break things down for several based
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We describe an innovative methodology for determining the quality of digital images. The method is based on measuring the variance of the expected entropy of a given image upon a set of predefined directions(Entropy can be calculated on a local basis
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