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» Learning to Segment Document Images
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99
Voted
ISBI
2008
IEEE
16 years 14 days ago
Segmentation of the evolving left ventricle by learning the dynamics
We propose a method for recursive segmentation of the left ventricle (LV) across a temporal sequence of magnetic resonance (MR) images. The approach involves a technique for learn...
Walter Sun, Müjdat Çetin, Raymond Chan...
ICDAR
2011
IEEE
13 years 11 months ago
A Method of Evaluating Table Segmentation Results Based on a Table Image Ground Truther
—We propose a novel method to evaluate table segmentation results based on a table image ground truther. In the ground-truthing process, we first extract connected components fr...
Yanhui Liang, Yizhou Wang, Eric Saund
101
Voted
ICDAR
2009
IEEE
14 years 9 months ago
A Tool for Ground-Truthing Text Lines and Characters in Off-Line Handwritten Chinese Documents
Annotating the regions, text lines and characters of document images is an important, but tedious and expensive task. A ground-truthing tool may largely alleviate the human burden...
Fei Yin, Qiu-Feng Wang, Cheng-Lin Liu
99
Voted
CAIP
2009
Springer
163views Image Analysis» more  CAIP 2009»
15 years 4 months ago
Separation of Overlapping and Touching Lines within Handwritten Arabic Documents
In this paper, we propose an approach for the separation of overlapping and touching lines within handwritten Arabic documents. Our approach is based on the morphology analysis of ...
Nazih Ouwayed, Abdel Belaïd
CVPR
2011
IEEE
14 years 3 months ago
A Hierarchical Conditional Random Field Model for Labeling and Segmenting Images of Street Scenes
Simultaneously segmenting and labeling images is a fundamental problem in Computer Vision. In this paper, we introduce a hierarchical CRF model to deal with the problem of labelin...
Qixing Huang, Mei Han, Bo Wu, Sergey Ioffe