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tianjia
- 如何在图像中加入某一固定snr的噪声？分类:matlab与图像处理 在利用matlab做一些自己算法的抗噪分析中，常常会遇到这个问题，matlab中的加噪函数是imnoise，里面的参数是噪声的均值，方差（高斯噪声）或者是感染概率（椒盐噪声），参数不能是snr值，但是很多国外的文章的噪声分析中都是用snr值来衡量加入噪声的程度的-how the image to a fixed snr noise? Categories : Matlab and image processing using
probability
- 可以对任何数组进行概率计算，在求数组信息熵时使用-array can be of any probability calculations, an array of information for the use of entropy
AThreshold4
- 计算图中所有灰阶的分布概率 定一阈值使得影像分成两类 计算两类的方差、平均灰度值与总影像平均灰度 选择最佳阈值-calculated all gray-scale map of the probability distribution of a fixed threshold value makes images divided into two categories : computing the variance, Gray and the average total value
matlab_MRF_examples
- 基于马尔科夫随机场的图像分割matlab源码。包括ICM迭代条件模式求解最大后验概率算法。-based on the Markov random field image segmentation Matlab source. ICM conditions including iterative model for the largest posterior probability algorithm.
yon
- 随机产生符号数和概率算法的实现 很使用 特别对图象处理-randomly generated number and the probability of achieving algorithm is to use a special pair of image processing
MATLBimage-trace
- Even though there are tons of codes from the image registration, artificial intelligence or the robotics community, none of them can easily be used by the strain measuring community. Commercial code is available also and has the advantage of ge
cfar_wt2.rar
- 这是一个横虚惊概率的程序，也叫CFAR，可以实现雷达图像数据的恒虚警检测,This is a cross false alarm probability procedures, also known as CFAR, can realize the radar image data CFAR detection
facedet
- 人脸检测算法对Haar特征推进，我们已经改善了大幅利用作为弱分类器的阈值中的累积概率分布点。-A face detector based on VJ algorithm (Boosting on HAAR features). We have improved the performance drastically by using mid cumulative probability distribution point as threshold for weak classifiers.
bian_yuan_te_zheng_ti_qu
- 边缘方向直方图matlab程序，直方图为提取8个方向的的统计概率-Edge direction histogram matlab program, the histogram for the extraction of eight directions of the statistical probability
plsa
- 该matlab代码实现了plsa算法。plsa全称是概率隐语义分析，是一个非常重要的隐语义分析模型。-This matlab code implements plsa algorithm, which is the short of probability latent semantic analysis and is a very important latent semantic analysis model.
feinuo
- 费诺编码输入为+7个信源符号,其概率分布为：(其中信源符号用A+B、、G表示)A_0.2++B_0.19++C_0.18++D_0.17++E_0.15++F_0.10++G_0.01然后输入程序中得到结果（详细文档，值得一下）-Fenno+7 encoding of input source symbols, the probability distribution as follows: (in which source symbols with A+ B,, G said) A_0.2++
Gaussian.mixture.model.Method
- 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
pdf
- 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
1
- 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
MaximumShannoninformationentropysegement
- Maximum Shannon information entropy的图像分割，是结合概率统计的方法进行的分割，理论上可以得到图像分割的更多细节。打开即可使用-Maximum Shannon information entropy of the image segmentation, is a combination of the methods of probability and statistics division, in theory, image segmentation can
shadow3
- 提出了一种室内静止摄像机条件下的运动目标检测和阴影抑制方法。该方法采用一种自适应的背景估计方法来实时更新 背景,用基于概率分类法检测运动目标,并在联合HMMD色彩空间和光度特征来抑制阴影之后,用Sobel边缘检测来修正运动目 标。实验结果表明,该方法能够有效地检测运动目标和抑制阴影。 -An indoor stationary camera under the conditions of moving target detection and shadow suppression m
1111
- 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
reliability
- 包含了如何计算连续梁桥的redundancy index, reliability index和失效概率的公式，以及如何画维修前和维修后的对比图像-Includes how to calculate the continuous girder bridge redundancy index, reliability index and failure probability of the formula, and how to draw the maintenance and repair of
Learning-Skin-Pixels-in-Color-Images-Using-Gaussi
- 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
Probability-and-statistics
- 概率论与数理统计课件，讲述概率论和数理统计的基础知识，为图形处理做基础。-Probability and mathematical statistics courseware, about probability and statistics for graphics processing basic knowledge, doing basic.