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PAMI
2002
94views more  PAMI 2002»
13 years 10 months ago
Imaged Document Text Retrieval Without OCR
: We propose a method for text retrieval from document images without the use of OCR. Documents are segmented into character objects. Image features, namely the Vertical Traverse D...
Chew Lim Tan, Weihua Huang, Zhaohui Yu, Yi Xu
JMIV
2006
176views more  JMIV 2006»
13 years 10 months ago
Segmentation of Vectorial Image Features Using Shape Gradients and Information Measures
In this paper, we propose to focus on the segmentation of vectorial features (e.g. vector fields or color intensity) using region-based active contours. We search for a domain that...
Ariane Herbulot, Stéphanie Jehan-Besson, St...
CVPR
2005
IEEE
15 years 20 days ago
Efficient Image Matching with Distributions of Local Invariant Features
Sets of local features that are invariant to common image transformations are an effective representation to use when comparing images; current methods typically judge feature set...
Kristen Grauman, Trevor Darrell
TIP
2010
205views more  TIP 2010»
13 years 5 months ago
Variational Region-Based Segmentation Using Multiple Texture Statistics
This paper addresses variational supervised texture segmentation. The main contributions are twofold. First, the proposed method circumvents a major problem related to classical t...
Imen Karoui, Ronan Fablet, Jean-Marc Boucher, Jean...
HISB
2011
92views more  HISB 2011»
12 years 10 months ago
Unsupervised Grow-Cut: Cellular Automata-Based Medical Image Segmentation
— This paper presents a new cellular automata-based unsupervised image segmentation technique that is motivated by the interactive grow-cut algorithm. In contrast to the traditio...
Payel Ghosh, Sameer Antani, L. Rodney Long, George...