Description: calculatePXTheta---Calculate the probability of each pixel being its color conditioned on all of the clusters that were found at the previous (coarser) iteration.
-calculatePXTheta -- Calculate the proba bility of each pixel being its color conditione d on all of the clusters that were found at the pre vious (coarser) iteration. Platform: |
Size: 11443 |
Author:左贤君 |
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Description: calculatePXTheta---Calculate the probability of each pixel being its color conditioned on all of the clusters that were found at the previous (coarser) iteration.
-calculatePXTheta-- Calculate the proba bility of each pixel being its color conditione d on all of the clusters that were found at the pre vious (coarser) iteration. Platform: |
Size: 11264 |
Author:左贤君 |
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Description: 所谓直方图就是在某一灰度级的象素个数占整幅图像的象素比 h=nj/N,其中nj是灰度级在j的象素数，N是总象素数，扫描整幅图像得出的h的离散序列就是图像的直方图，h求和必然＝1，所以直方图可以看成是象素对于灰度的概率分布函数。-Histogram is the so-called gray level in a given number of pixels representing the entire image pixel than h = nj/N, which nj is the gray level of pixels in the j number, N is the total number of pixels, scanning the whole lot images derived from the discrete sequence h is the image histogram, h summation is bound = 1, so the histogram can be viewed as the probability of pixel gray-scale for the distribution function. Platform: |
Size: 1024 |
Author:范灯辉 |
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Description: 为了对光线变化的图像进行顺利侵害，提出了一
种利用贝叶斯学习方法来进行视频图像分割的算法，印先在每个像素点处对不断变化的背景建模，同时计算每个像素点
处的颜色直方图，再用这些直方图来表示该像素点处特征向量的概率分布，然后用贝叶斯学习方法来进行判断，以确定在光线缓慢或者突然变化的时候，每个像素点是属于前景还是属于背景。-In order to change the image of light against a smooth, a Bayesian learning approach to the use of video image segmentation algorithms, printed first in each pixel point on the changing context of modeling, at the same time calculated for each pixel point Department of color histogram, and then these pixel histogram to indicate the point of the probability distribution of feature vectors, and then use Bayesian learning method to judge, to determine the slow or sudden changes in light, when each pixel is belonging to the prospect of still belonging to the background. Platform: |
Size: 196608 |
Author: |
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Description: 自适应核密度估计运动检测方法
提出一种自适应的核密度(kernel density estimation, KDE)估计运动检测算法. 算法首先提出一种自适应前景、背景阈值的双阈值选择方法, 用于像素分类. 该方法用双阈值能克服用单阈值分类存在的不足, 阈值的选择能自适应进行, 且能适应不同的场景. 在此基础上, 本文提出了基于概率的背景更新模型, 按照像素的概率来更新背景, 并利用帧间差分背景模型和KDE分类结果, 来解决背景更新中的死锁问题, 同时检测背景的突然变化. 实验证明了所提出方法的适应性和可靠性.-Adaptive kernel density estimation method of motion detection of an adaptive kernel density (kernel density estimation, KDE) estimated motion detection algorithm. Algorithm first proposed an adaptive prospects, the background of the dual-threshold threshold selection method for pixel classification. The method used to overcome the dual-threshold single classification threshold shortcomings, the choice of threshold can be adaptive, and able to adapt to different scenes. On this basis, this paper, based on the probability of the background update model, in accordance with the probability of pixels to update the background, and take advantage of interframe differential background model and the classification results of KDE, to resolve the deadlock in the background update, while detection of abrupt changes in the background. Experiments show the proposed method of adaptability and reliability. Platform: |
Size: 1480704 |
Author:maolei |
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Description: 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-road regional mixture Gaussian color model, based on pixel color model of the probability of belonging to the road based on color information Platform: |
Size: 1812480 |
Author:zhaolipo |
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Description: 先讀入膚色，非膚色的圖片，在將各張圖片由RGB轉成YCbCr。讀進來的時候，我是用四維的陣列去存膚色的圖片以及非膚色的圖片。第一個維度是用來存放有幾張圖片，接下來是解析度，還有幾個channel。讀進來之後再分別對膚色，非膚色的Cb，Cr來作統計。分別會得到Cb，Cr的mean和variance。再依次分別帶入Multivariate Normal Density的公式去求得膚色，非膚色出現的機率。最後再將得到的兩個機率值相除，得到的值，拿來和threshold值相比，藉此來判斷Input的圖的pixel是否為膚色。-To read into the color, non-color pictures, all pictures in the RGB conversion from YCbCr. Reading came when I was using four-dimensional array to save color images and non-color pictures. The first dimension is used to store a few pictures, followed by the resolution, there are several channel. Respectively after reading came in color, non-color of the Cb, Cr to make the statistical. Respectively, will be Cb, Cr of the mean and variance. Then in turn were brought into the Multivariate Normal Density formula to obtain color, the probability of non-skin color appears. Finally got two chances and then divided the value obtained values, brought, and compared with threshold values, thereby to determine the Input of the map whether the color pixel. Platform: |
Size: 1024 |
Author:Howard |
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Description: 霍夫曼编码的基本方法是先对图像数据扫描一遍，计算出各种像素出现的概率，按概率的大小指定不同长度的唯一码字，由此得到一张该图像的霍夫曼码表。编码后的图像数据记录的是每个像素的码字，而码字与实际像素值的对应关系记录在码表中。-Huffman coding method is first scanned image data again, to calculate the probability of a variety of pixel specify a different length unique code word according to the size of the probability, which a the image of the Huffman table . Encoded image data recorded in the codeword for each pixel, the corresponding relationship between the code word and the actual pixel values recorded in the code table. Platform: |
Size: 3072 |
Author:危险源 |
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Description: 自适应核密度估计运动检测方法 提出一种自适应的核密度(kernel density estimation, KDE)估计运动检测算法. 算法首先提出一种自适应前景、背景阈值的双阈值选择方法, 用于像素素分类. 该方法用双阈值能克服用单阈值分类存在的不足, 阈值的选择能自适应进行, 且能适应不同的场景. 在此基础上, 本文提出了基于概率的背景更新模型, 按照像素的概率来更新背景, 并利用帧间差分背景模
-Adaptive kernel density estimation motion detection method, an adaptive kernel density (kernel density estimation, KDE) estimated that the motion detection algorithm, the algorithm first raised the prospect of an adaptive dual-threshold of the background threshold selection method for the classification of the pixels prime The method can overcome the dual-threshold with the shortcomings of a single threshold classification, the choice of threshold can be adaptive, and can adapt to different scenarios. On this basis, this paper presents a probability-based background update model, according to the probability of the pixel to update the background, and frame difference and background mode Platform: |
Size: 1480704 |
Author:弯曲 |
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Description: Image segmentation
We propose a segmentation framework that takes as its input a xation (a point
location) in the scene and outputs the region containing that xation. The xated
region is segmented in terms of the area enclosed by the \optimal" closed boundary
around the xation using the probabilistic boundary edge map of the scene (or image).
The probabilistic boundary edge map, which is generated by using all available visual
cues, contains the probability of an edge pixel being at an object (or depth) boundary Platform: |
Size: 48128 |
Author:robin |
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Description: Edge detection
We propose a edge detection framework that takes as its input a xation (a point
location) in the scene and outputs the region containing that xation. The xated
region is segmented in terms of the area enclosed by the \optimal" closed boundary
around the xation using the probabilistic boundary edge map of the scene (or image).
The probabilistic boundary edge map, which is generated by using all available visual
cues, contains the probability of an edge pixel being at an object (or depth) boundary Platform: |
Size: 387072 |
Author:robin |
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Description:
The principle of Huffman coding is (roughly) to replace symbols in the original data (in your case the value of each pixel of the image) by a numeric code that is attributed according to the probability of the symbol. The most probable (i.e. the most common) symbol will be replaced by shorter codes in order to realize a compression of the data. Platform: |
Size: 305152 |
Author:sallam |
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Description: 背景建模是实现运动目标检测与跟踪的关键技术之一。在实时视频监控系统中，对背景建模算法的运行时间及所提取出的背景图像的实时性有很高的要求，针对这一问题，提出了一种基于切比雪夫不等式的自适应阈值背景建模算法。算法利用切比雪夫不等式计算像素点色度变化的概率估计值，提出了一种自适应阈值分类方法，它将像素点快速分类为前景点、背景点及可疑点，再利用核密度估计方法对可疑点进行进一步分类，最后利用背景更新算法提取实时背景图像。实验结果证明，该算法能快速有效地区分特征明显的背景点与前景点，提高了背景图像提取的速度，对可疑点利用核密度估计方法降低了背景分割的误差，背景建模效果理想，运算速度快，适用于实时视频监控系统。-Background modeling is a key technology to realize the moving target detection and tracking. In real-time video surveillance system, there are high demands on uptime and background modeling algorithm is proposed to remove the background image in real time, for this problem, a Chebyshev inequality based on adaptive threshold background modeling algorithm. Cut algorithm uses to calculate the probability of Chebyshev inequality pixel color change estimates, an adaptive threshold classification method, it will be classified as pre-fast pixel of interest, background points and suspicious points, re-use kernel density estimation method suspicious point for further classification. Finally, background updating algorithm to extract real-time background image. Experimental results show that the algorithm can quickly and efficiently in the background of significant features of the region of interest with the previous point, improving the speed of extraction of the background image, the point of s Platform: |
Size: 1972224 |
Author: |
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Description: 混合高斯背景建模是基于像素样本统计信息的背景表示方法，利用像素在较长时间内大量样本值的概率密度等统计信息。-Gaussian mixture background modeling is based on the background pixel sample representation of statistical information, using the pixel values in a long time a large number of samples probability density statistics. Platform: |
Size: 2691072 |
Author:shaodeyang |
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Description: 有较好的参考价值，是学习PCA特征提取的很好的学习资料，表示出两帧图像间各个像素点的相对情况，从先验概率中采样，计算权重，仿真图是速度、距离、幅度三维图像，pwm整流器的建模仿真。-There are good reference value, Is a good learning materials to learn PCA feature extraction, Between two images showing the relative circumstances of each pixel, Sampling a priori probability, calculate the weight, FIG simulation speed, distance, amplitude three-dimensional image, Modeling and simulation pwm rectifie. Platform: |
Size: 13312 |
Author:sqwgha |
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Description: 数据模型归一化，模态振动，IMC-PID是利用内模控制原理来对PID参数进行计算，表示出两帧图像间各个像素点的相对情况，包括回归分析和概率统计，线性调频脉冲压缩的Matlab程序,D-S证据理论数据融合。- Normalized data model, modal vibration, The IMC- PID is using the internal model control principle for PID parameters is calculated, Between two images showing the relative circumstances of each pixel, Including regression analysis and probability and statistics, LFM pulse compression of the Matlab program, D-S evidence theory data fusion. Platform: |
Size: 6144 |
Author:kqstzd |
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Description: 研究生时的现代信号处理的作业，从先验概率中采样，计算权重，最终的权值矩阵就是滤波器的系数，表示出两帧图像间各个像素点的相对情况，粒子图像分割及匹配均为自行编制的子例程，本程序的性能已经达到较高水平。- Modern signal processing jobs when the graduate, Sampling a priori probability, calculate the weight, The final weight matrix is ??the filter coefficient, Between two images showing the relative circumstances of each pixel, Particle image segmentation and matching subroutines themselves are prepared, The performance of the program has reached a high level. Platform: |
Size: 5120 |
Author:sxzmfy |
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Description: 用于信号特征提取、信号消噪，鲁棒性好，性能优越，本程序的性能已经达到较高水平，包括回归分析和概率统计，相控阵天线的方向图（切比雪夫加权），表示出两帧图像间各个像素点的相对情况。- For feature extraction, signal de-noising, Robustness, superior performance, The performance of the program has reached a high level, Including regression analysis and probability and statistics, Phased array antenna pattern (Chebyshev weights), Between two images showing the relative circumstances of each pixel. Platform: |
Size: 6144 |
Author:qqztrq |
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Description: 采用的是脉冲对消法，IDW距离反比加权方法，可实现对二维数据的聚类，表示出两帧图像间各个像素点的相对情况，从先验概率中采样，计算权重。- It uses a pulse of consumer law, IDW inverse distance weighting method, Can realize the two-dimensional data clustering, Between two images showing the relative circumstances of each pixel, Sampling a priori probability, calculate the weight. Platform: |
Size: 9216 |
Author:ibpuggx |
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Search - probability pixel