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» Learning to Segment Document Images
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ICPR
2004
IEEE
16 years 28 days ago
A Variational Approach for Color Image Segmentation
In this paper we use a variational Bayesian framework for color image segmentation. Each image is represented in the L*u*v color coordinate system before being segmented by the va...
Nikolaos Nasios, Adrian G. Bors
DRR
2009
14 years 9 months ago
Text-image alignment for historical handwritten documents
We describe our work on text-image alignment in context of building a historical document retrieval system. We aim at aligning images of words in handwritten lines with their text...
Svitlana Zinger, John Nerbonne, Lambert Schomaker
ICDAR
2003
IEEE
15 years 5 months ago
Postal Envelope Segmentation by 2-D Histogram Clustering through Watershed Transform
In this paper we present a new postal envelope segmentation method based on 2-D histogram clustering and watershed transform. Segmentation task consists in detecting the modes ass...
Eduardo Akira Yonekura, Jacques Facon
MICCAI
2004
Springer
16 years 21 days ago
Learning Coupled Prior Shape and Appearance Models for Segmentation
We present a novel framework for learning a joint shape and appearance model from a large set of un-labelled training examples in arbitrary positions and orientations. The shape an...
Xiaolei Huang, Zhiguo Li, Dimitris N. Metaxas
ICCV
2011
IEEE
13 years 12 months ago
Image Segmentation by Figure-Ground Composition into Maximal Cliques
We propose a mid-level statistical model for image segmentation that composes multiple figure-ground hypotheses (FG) obtained by applying constraints at different locations and s...
Adrian Ion, Joao Carreira, Cristian Sminchisescu