477 search results - page 40 / 96 » Modeling Image Textures by Gibbs Random Fields |
97
Voted
DAS
2010
Springer
15 years 2 months ago
2010
Springer
Separating machine printed text and handwriting from overlapping text is a challenging problem in the document analysis field and no reliable algorithms have been developed thus f...
76
Voted
ICPR
2010
IEEE
15 years 4 months ago
2010
IEEE
In this paper, we propose a framework for isolating text regions from natural scene images. The main algorithm has two functions: it generates text region candidates, and it veriï...
116
Voted
ICPR
2000
IEEE
15 years 5 months ago
2000
IEEE
This paper presents a Hidden Markov Mesh Random Field (HMMRF) based approach for off-line handwritten Chinese characters recognition using statistical observation sequences embedd...
106
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ICIP
2006
IEEE
16 years 2 months ago
2006
IEEE
Dimensionality reduction, spectral classification and segmentation are the three main problems in hyperspectral image analysis. In this paper we propose a Bayesian estimation appr...
110
click to vote
CVBIA
2005
Springer
15 years 6 months ago
2005
Springer
Abstract. Markov Random Fields (MRFs) are a popular and wellmotivated model for many medical image processing tasks such as segmentation. Discriminative Random Fields (DRFs), a dis...