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本文是06SIGGRAPH上的一篇论文\"实时视频抽象\"的原始算法.其中包括双面过滤\\颜色转换\\高斯差分边缘等.-This is the thesis of a "real-time video abstraction" of the original algorithm. Which packets including double filtration \\ color conversion \\ Difference of Gaussian a
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中心/ 环绕Retinex 算法。自从Retinex 理论提出以来, Land 本人和其他
人先后提出了Retinex 不同的变种, 最新的一个版
本是中心/ 环绕Retinex 7 。该方法比较以前的版
本, 运算速度显著提高, 而且物理意义更加清楚。
这种运算与人类视网膜和大脑皮层神经元的神经生
理学函数相关, 其形式类似于自然视觉科学中常用
来模拟单个神经元感受野的高斯差分函数-center / around Retinex algorithm. Since Ret
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视频监控系统完整源码(本人本科毕业设计),运用帧间差分算法,运用高斯混合模型来实现背景的实时更新,以减少由于环境的变化对检测结果的干扰。-Video Surveillance System integrity of the source code (I graduated from undergraduate design), use interframe difference algorithm, Gaussian mixture model used to achieve the real-
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DoG(Difference of Gaussian)滤波算子,主要用于边缘特征提取,用于模式识别中的分割预处理。其主要参数为两个高斯函数的方差,针对方差设计可以对不同的图像特征情况下有不同的表现。
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% EM algorithm for k multidimensional Gaussian mixture estimation
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% Inputs:
% X(n,d) - input data, n=number of observations, d=dimension of variable
% k - maximum number of Gaussian components allowed
% ltol - percentage of the log likeli
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vc++和opencv,运用高斯建模的方法对场景进行背景建模,背景差分。从而检测出运动的物体,如机动车辆、行人,烟火等。-vc++ and opencv, using the method of Gaussian modeling scene background modeling, background difference. To detect moving objects, such as motor vehicles, pedestrians, fireworks, etc.
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In this paper, a two-dimensional (2-D) transverse
magnetic (TM) mode finite difference time domain (FDTD)
method is used to simulate the indoor radio wave propagation
and model the indoor ultra wideband (UWB) channel. The
modulated Gaussian p
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对图像进行双边滤波的函数。有两个高斯核,一个是对像素点见的距离,一个是对像素点见的灰度差。-Right image bilateral filtering function. There are two Gaussian kernel, one is the pixel to see distance, one is to see the gray scale pixel difference.
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DOG高斯差分实现物体识别中的特征提取,对不同尺度空间的图像进行差分,从而获得描述物体的特征值-difference of gaussian to achieve the feature point exaction of object recognition
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这是一个非常简单的遗传算法源代码,是由Denis Cormier (North Carolina State University)开发的,Sita S.Raghavan (University of North Carolina at Charlotte)修正。代码保证尽可能少,实际上也不必查错。对一特定的应用修正此代码,用户只需改变常数的定义并且定义“评价函数”即可。注意代码 的设计是求最大值,其中的目标函数只能取正值;且函数值和个体的适应值之间没有区别。该系统使用比率选择、精华模型、单点杂
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用于背景差分的高斯混合建模,实现运动目标检测,c++源码可编译执行-Difference of Gaussian mixture for the background model for moving object detection, c++ source code can be compiled implementation
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matlab 的 Difference of Gaussian 算法实现,很常用的算法-matlab the Difference of Gaussian algorithm, it is commonly used algorithm
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基于Matlab的高斯差分金字塔图像产生程序,可直接输入一副图像,调用此函数就可以得到你所想要的所有金字塔图像。-Based on Matlab Difference of Gaussian pyramid image generation process can be directly input an image, calling this function you can get what you want all the pyramid image.
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This Function Calculates The Difference of Gaussian
for SIFT feature detection
input parameter definition
1. Pyramid=image
2. NumOfLevel=levels to be calculated
3. InitSigma=initial variance of Gaussian-This Function Calculates The Di
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This a MATLAB implementation of the SIFT keypoint detector and descr iptor -do_gaussian: generate Gaussian scale space of input image
do_diffofg: generate Difference of Gaussian (DoG) scale space
do_localmax: local extrema as the potential keyp
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混合高斯模型,能够区分前景和背景。导入视频可世界运行。但是还没有去噪,可能对前景分析不够准确。-The code of Hybrid Gaussian,It can distinguish the difference of foreground and background.
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difference of gaussian and otsu algorithm in c/c-difference of gaussian and otsu algorithm in c/c++
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高斯差分函数:在图像处理和模式识别中应用很广泛。(Difference of Gaussian)
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A Neutrosophic Image segmentation book
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