Image analysis and computer vision: 1998
A Rosenfeld - Computer vision and image understanding, 1999 - Elsevier
This paper presents a bibliography of over 2250 references related to computer vision and
image analysis, arranged by subject matter. The topics covered include computational …
image analysis, arranged by subject matter. The topics covered include computational …
New MRF parameter estimation technique for texture image segmentation using hierarchical GMRF model based on random spatial interaction and mean field theory
This paper presents a new Markov random field (MRF) parameter estimation technique
using hierarchical MRF model based on the random spatial interaction (RSI) and the mean …
using hierarchical MRF model based on the random spatial interaction (RSI) and the mean …
基于交互势函数和均场参数估计的分层MRF 模型的纹理图像分割
李一兵， 杨鹏， 叶方， 刘丹丹 - 吉林大学学报(工学版), 2015 - xuebao.jlu.edu.cn
针对分层马尔科夫模型在用期望最大(EM) 算法进行参数估计时, 隐变量之间相互作用导致求
期望值较难的问题, 将均场理论应用到GMRF 模型的系数估计中, 使得模型的参数可以在不使用 …
期望值较难的问题, 将均场理论应用到GMRF 模型的系数估计中, 使得模型的参数可以在不使用 …
[PDF][PDF] WILLIAM ROBSON SCHWARTZ
SDEIBEM DEPENDÊNCIA - 2005 - homepages.dcc.ufmg.br
WILLIAM ROBSON SCHWARTZ SEGMENTACAO DE IMAGENS BASEADA EM
DEPENDÊNCIA ESPACIAL UTILIZANDO CAMPO ALEATORIO DE MARKOV ASSOC Page …
DEPENDÊNCIA ESPACIAL UTILIZANDO CAMPO ALEATORIO DE MARKOV ASSOC Page …