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» Learning to Segment Document Images
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99
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ICIP
2010
IEEE
14 years 9 months ago
Fast semantic scene segmentation with conditional random field
In this paper, we present a fast approach to obtain semantic scene segmentation with high precision. We employ a two-stage classifier to label all image pixels. First, we use the ...
Wen Yang, Dengxin Dai, Bill Triggs, Gui-Song Xia, ...
ICDAR
1997
IEEE
15 years 4 months ago
Local Skew Angle Estimation from Background Space in Text Regions
Almost all document analysis approaches need to perform a global analysis of the page orientation as a separate process at an early stage. It would be preferable to estimate the o...
Apostolos Antonacopoulos
112
Voted
ICMCS
2007
IEEE
180views Multimedia» more  ICMCS 2007»
15 years 6 months ago
Discrete Regularization for Perceptual Image Segmentation via Semi-Supervised Learning and Optimal Control
In this paper, we present a regularization approach on discrete graph spaces for perceptual image segmentation via semisupervised learning. In this approach, first, a spectral cl...
Hongwei Zheng, Olaf Hellwich
ICDAR
2005
IEEE
15 years 5 months ago
A Synthetic Database to Assess Segmentation Algorithms
In this paper we describe a synthetic database composed of 273,452 handwritten touching digits pairs to assess segmentation algorithms. It contains several different kinds of touc...
Luiz S. Oliveira, Alceu de Souza Britto Jr., Rober...
ICIAP
1999
ACM
15 years 4 months ago
Texture Segmentation by Frequency-Sensitive Elliptical Competitive Learning
In this paper a new learning algorithm is proposed with the purpose of texture segmentation. The algorithm is a competitive clustering scheme with two specific features: elliptic...
Steve De Backer, Paul Scheunders