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» Adaptive Document Image Thresholding using Foreground and Ba...
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ICIP
2005
IEEE
14 years 9 months ago
Segmenting small regions in the presence of noise
Binary segmentation, a problem of extracting foreground objects from the background, often arises in medical imaging and document processing. Popular existing solutions include Ex...
Rashi Samur, Vitali Zagorodnov
ICIP
1997
IEEE
13 years 11 months ago
Object Based Video with Progressive Foreground
A novel algorithm is described for coding objects in video compression systems which gives complete control over the bit allocation to the video objects. The method is evaluated b...
Donald M. Monro, Huijuan Li, J. A. Nicholls
DIAL
2006
IEEE
130views Image Analysis» more  DIAL 2006»
14 years 1 months ago
Improving the Quality of Degraded Document Images
It is common for libraries to provide public access to historical and ancient document image collections. It is common for such document images to require specialized processing i...
Ergina Kavallieratou, Efstathios Stamatatos
MVA
1996
177views Computer Vision» more  MVA 1996»
13 years 8 months ago
An Adaptive Threshold Method for Gray Scale Character Images
Gray-scale document images are binarized in order to perform optical character recognition (OCR). To perform this binarization, a variety of techniques have been proposed for perf...
Ming Yu, Shinji Ozawa
ICIP
2006
IEEE
14 years 9 months ago
Background Modeling from GMM Likelihood Combined with Spatial and Color Coherency
This paper proposes to combine spatial and color coherency with the pixel-wise GMM to determine the background model. We first represent each pixel with a hybrid feature vector, w...
Sheng-Yan Yang, Chiou-Ting Hsu