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» Local Contrast Segmentation to Binarize Images
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ICDAR
2009
IEEE
14 years 1 months ago
Recognition of Degraded Handwritten Characters Using Local Features
The main problems of Optical Character Recognition (OCR) systems are solved if printed latin text is considered. Since OCR systems are based upon binary images, their results are ...
Markus Diem, Robert Sablatnig
ICDAR
1999
IEEE
13 years 11 months ago
Telop and Flip Frame Detection and Character Extraction from TV News Articles
The purpose of this study is to automatically extract telop and flip characters. It starts from the extraction of stable frame sections including the telop and flip characters. Ne...
Yasuo Ariki, Katsumi Matsuura, Seiichi Takao
TIP
2010
87views more  TIP 2010»
13 years 5 months ago
A Nonconservative Flow Field for Robust Variational Image Segmentation
—We introduce a robust image segmentation method based on a variational formulation using edge flow vectors. We demonstrate the nonconservative nature of this flow field, a fe...
Pratim Ghosh, Luca Bertelli, Baris Sumengen, B. S....
ICIAP
1997
ACM
13 years 11 months ago
Unsupervised Texture Segmentation Using Feature Distributions
This paper presents an unsupervised texture segmentation method, which uses distributions of local binary patterns and pattern contrasts for measuring the similarity of adjacent i...
Timo Ojala, Matti Pietikäinen
ICIP
2004
IEEE
14 years 8 months ago
Integrated registration of dynamic renal perfusion MR images
This paper presents an integrated image registration algorithm to correct the motion induced by patient breathing for dynamic renal perfusion MR images. Registration of kidneys th...
José M. F. Moura, Marie-Pierre Jolly, Ying ...