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» Geodesic Graph Cut for Interactive Image Segmentation
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PAMI
2010
190views more  PAMI 2010»
14 years 10 months ago
OBJCUT: Efficient Segmentation Using Top-Down and Bottom-Up Cues
—We present a probabilistic method for segmenting instances of a particular object category within an image. Our approach overcomes the deficiencies of previous segmentation tech...
M. Pawan Kumar, Philip H. S. Torr, Andrew Zisserma...
97
Voted
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
PAMI
2010
260views more  PAMI 2010»
14 years 10 months ago
Unsupervised Object Segmentation with a Hybrid Graph Model (HGM)
—In this work, we address the problem of performing class-specific unsupervised object segmentation, i.e., automatic segmentation without annotated training images. Object segmen...
Guangcan Liu, Zhouchen Lin, Yong Yu, Xiaoou Tang
ICCV
2005
IEEE
15 years 5 months ago
An Integrated Framework for Image Segmentation and Perceptual Grouping
This paper presents an efficient algorithm for image segmentation and a framework for perceptual grouping. It makes an attempt to provide one way of combining bottomup and top-do...
Zhuowen Tu
MICCAI
2005
Springer
16 years 20 days ago
Cross Entropy: A New Solver for Markov Random Field Modeling and Applications to Medical Image Segmentation
This paper introduces a novel solver, namely cross entropy (CE), into the MRF theory for medical image segmentation. The solver, which is based on the theory of rare event simulati...
Jue Wu, Albert C. S. Chung