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» Learning to Segment Document Images
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DAS
2010
Springer
15 years 3 months ago
Text extraction from graphical document images using sparse representation
A novel text extraction method from graphical document images is presented in this paper. Graphical document images containing text and graphics components are considered as two-d...
Thai V. Hoang, Salvatore Tabbone
ICIP
2003
IEEE
16 years 1 months ago
Incorporating complex statistical information in active contour-based image segmentation
We propose an information-theoretic method for multi-phase image segmentation, in an active contour-based framework. Our approach is based on nonparametric density estimates, and ...
Alan S. Willsky, Anthony J. Yezzi, John W. Fisher ...
CVPR
2006
IEEE
16 years 1 months ago
Shape-Based Approach to Robust Image Segmentation using Kernel PCA
Segmentation involves separating an object from the background. In this work, we propose a novel segmentation method combining image information with prior shape knowledge, within...
Samuel Dambreville, Yogesh Rathi, Allen Tannenbaum
MVA
1992
127views Computer Vision» more  MVA 1992»
15 years 1 months ago
A Parallel Topological Map for Image Segmentation
We present a new algorithm for topological feature mapping. It is compared to other known feature mapping algorithmslike that proposed by Kohonen or Bertsch. The main difference t...
Dinu Scheppelmann, Jochen Frey, Manuela Schäf...
ICMCS
2009
IEEE
415views Multimedia» more  ICMCS 2009»
14 years 9 months ago
A new localized superpixel Markov random field for image segmentation
In this paper, we present a novel localized Markov random field (MRF) method based on superpixels for region segmentation. Early vision problems could be formulated as pixel label...
Xiaofeng Wang, Xiao-Ping Zhang