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» Classifying Foreground Pixels in Document Images
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ICDAR
2009
IEEE
13 years 11 months ago
Classifying Foreground Pixels in Document Images
We present a system that classifies pixels in a document image according to marking type such as machine print, handwriting, and noise. A segmenter module first splits an input ...
Prateek Sarkar, Eric Saund, Jing Lin
AVSS
2005
IEEE
13 years 10 months ago
Scene modelling using an adaptive mixture of Gaussians in colour and space
We present an integrated pixel segmentation and region tracking algorithm, designed for indoor environments. Visual monitoring systems often use frame differencing techniques to i...
Patrick Dickinson, Andrew Hunter
ICPR
2010
IEEE
13 years 5 months ago
A Self-Training Learning Document Binarization Framework
—Document Image Binarization techniques have been studied for many years, and many practical binarization techniques have been developed and applied successfully on commercial do...
Bolan Su, Shijian Lu, Chew Lim Tan
ICDAR
2009
IEEE
13 years 2 months ago
PixLabeler: User Interface for Pixel-Level Labeling of Elements in Document Images
We present a user interface design for labeling elements in document images at a pixel level. Labels are represented by overlay color, which might map to such terms as "handw...
Eric Saund, Jing Lin, Prateek Sarkar
ICIP
2006
IEEE
14 years 6 months ago
Region-Based Statistical Background Modeling for Foreground Object Segmentation
This paper proposes a novel region-based scheme for dynamically modeling time-evolving statistics of video background, leading to an effective segmentation of foreground moving ob...
Kristof Op De Beeck, Irene Y. H. Gu, Liyuan Li, Ma...