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A Multiscale Morphological Binarization Algorithm
2010Image binarization is widely used to generate more appropriate images to be used in several image analysis and understanding systems, as well as to facilitate data management and decrease storage space requirements. The main difficulties arise from the fact that images are frequently degraded by noise and non-uniform illumination, for example.
Leyza Baldo Dorini +1 more
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A technique for fuzzy document binarization
Proceedings of the 2001 ACM Symposium on Document engineering, 2001This paper proposes a new method for fuzzy binarization of digital document. The proposed approach achieves binarization using both the image gray-levels and additional local spatial features. Both, gray-level and local features values feed a Kohonen Self-Organized Feature Map (SOFM) neural network classifier.
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Binarization of MultiSpectral Document Images
2015This work is concerned with the binarization of document images caputured by MultiSpectral Imaging MSI systems. The documents imaged are historical manuscripts and MSI is used to gather more information compared to traditional RGB photographs or scans.
Fabian Hollaus +2 more
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CT-Net: Cascade T-shape deep fusion networks for document binarization
Pattern Recognition, 2021Sheng He, L R B Schomaker
exaly
A double-threshold image binarization method based on edge detector
Pattern Recognition, 2008Quansen Sun +2 more
exaly
A combined approach for the binarization of handwritten document images
Pattern Recognition Letters, 2014Ioannis Pratikakis, B Gatos
exaly

