417 search results - page 41 / 84 » Supervised Image Segmentation Using Markov Random Fields |
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IBPRIA
2003
Springer
15 years 5 months ago
2003
Springer
Abstract. This paper presents a general framework to segment curvilinear objects in 2D images. A pre-processing step relies on mathematical morphology to obtain a connected line wh...
DAS
2008
Springer
15 years 1 months ago
2008
Springer
This paper presents an edge-directed super-resolution algorithm for gray level document images without using any training set. This technique creates an image with smooth regions ...
ICIP
1998
IEEE
16 years 1 months ago
1998
IEEE
In this paper, we proposed a neural network based scheme for performing unsupervised video object segmentation, especially for videophone or videoconferencing applications. The pr...
CVPR
2010
IEEE
15 years 8 months ago
2010
IEEE
In this paper we propose a novel approach to the perceptual interpretation of building facades that combines shape grammars, supervised classification and random walks. Procedural...
ICCV
2001
IEEE
16 years 1 months ago
2001
IEEE
The spatial distribution of gray level intensities in an image can be naturally modeled using Markov Random Field (MRF) models. We develop and investigate the performance of face ...