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- Gauss Markov random field 高斯马尔可夫随机场
- Markov random field in image analysis, written by Li Qing, an absolute classic! 马尔克夫随机场在图像分析中的应用，李子青写的，绝对经典！
- Firstly, a rough motion template was obtained by motion detection based on Markov random field model and through post-processing. 该算法首先利用马尔可夫随机场模型的运动检测算法，得到运动目标的初始模板。
- In this paper, a novel method of moving object segmentation based on spatiotemporal Markov Random Field(MRE) is proposed. 该文提出一种新的基于时空马尔可夫随机场的运动目标分割技术。
- This paper uses an algorithm of motion segmentation combined motion estimation with Markov Random Field（MRF）. 采用一种将运动估计方法与马尔可夫随机场（MRF）模型相结合的运动分割方法。
- Firstly,the accurate contour of the target in SAR imagery is extracted after the image segmentation based on Markov Random Field(MRF)model. 利用基于马尔可夫随机场(MRF)的图像分割提取准确的目标成像轮廓。
- A method extracting moving object was proposed by utilizing the Markov random field (MRF) and active contour model in video sequences. 针对视频序列图像中的运动目标分割，提出了将马尔可夫随机场模型和活动轮廓模型相结合的运动目标分割算法。
- Firstly,a maximum a posteriori framework is created according to conditional random field model and Markov random field model. 首先根据条件随机场模型和马尔可夫随机场模型建立了一个最大后验概率框架。
- On the basis of Markov Random Field(MRF) theory, Markov Random Field texture model was presented to analyse workpiece surface texture images. 基于马尔可夫随机场理论,建立了工件表面纹理图像的马尔可夫随机场纹理模型,并对工件表面纹理图像的特点进行了分析。
- The traditional Markov Random Field (MRF) used in image segmentation have several disadvantages, such as too much time and no convergence. 摘要传统的马尔可夫随机场(MRF)图像分割在优化求解的过程中存在运算量较大，运算时间过长，算法不收敛等问题。
- In order to determine the a priori distribution of these submodels, a half plane Markov random field model is utilized to describe the distribution of the line process. 半平面MRF(Markov random field)模型描述线过程的分布,以确定各个子模型的先验概率。
- Then the SAR image was devided by useing Markov Random Field(MRF) model.Experiment results indicate that the method can improve the quality of image segmentation. 实验结果表明,该方法改善了SAR图像分割的质量,有效地改善了MRF图像分割算法的方向灵敏性。
- This paper introduces the principle and algorithm of least square method which was used in texture classification of aerial image. This method based on the determining MRF (Markov Random Field) parameters of image texture. 本文介绍航空影像纹理分类的最小二乘法原理和算法，该方法是建立在影像纹理MRF参数测定的基础上。
- A novel iterative algorithm to estimate the hidden states of wavelet coefficients of SAR images is proposed by combing the Hidden Markov Tree (HMT) and the Hidden Markov Random Field (HMRF) model. 该文将隐马尔可夫树(HMT)和隐马尔可夫随机场(HMRF)两种模型相结合,提出了一种新的估计SAR图像小波系数隐状态的迭代算法。
- A multiplicative iterative blind image deconvolution algorithm was proposed, in which both estimated image and Point Spread Function (PSF) were assumed to follow Markov Random Field (MRF) models. 提出了一种乘性迭代盲图像去卷积算法，该算法假定被估计的图像与PSF 满足MRF 模型。
- The application of a Gaussian Markov Random Fields (GMRF) based Maximum A Posteriori Probability (MAP) estimation for image Gaussian noise filter was presented. 摘要提出了基于高斯马尔可夫随机场(GMRF)的最大后验概率(MAP)估计在图像高斯噪声滤波中的应用方法。
- Pairwise markov random field model 双Markov模型
- hierarchical Markov random field(MRF) 分层马尔可夫随机场
- We give a survey of two-parameter Markov processes, including 1) Introduction, 2) Definition and properties, 3) Brownian sheet and two-parameter Ornstein-Uhlenbeck processes, 4) Markov random fields, 5) Two-parameter Markov processes and potentials. 本文综述两指标马尔可夫过程的理论;包括:1)引言;2)定义与性质;3)布朗单与两参数Ornstein-Uhlenbeck过程;4)马尔可夫随机场;5)二参数马程与位势.
- Improved fuzzy markov random field 改进模糊马尔可夫随机场
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