Results 271 to 280 of about 15,536 (307)
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Binarization of Nonuniform Illumination Barcode
Proceedings of the International Conference on Machine Vision and Applications, 2018This paper proposes a novel binarization approach, appropriate for nonuniform illumination barcode. The proposed method firstly clusters pixels of the image into two categories, which is black and white. Next, the variations of these two parts are calculated and binarization is conducted in the part with less variation. Finally, the uneven illumination
Zhikui Duan, Yongxiang Zhang, Shiren Li
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2014
This chapter shows the applications of binarization in image processing and analysis. A particular consideration is given toward some selected biometric applications. Use of binarization in medical image processing is also stated.
Nabendu Chaki +2 more
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This chapter shows the applications of binarization in image processing and analysis. A particular consideration is given toward some selected biometric applications. Use of binarization in medical image processing is also stated.
Nabendu Chaki +2 more
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Binarizing complex scanned documents
2015 13th International Conference on Document Analysis and Recognition (ICDAR), 2015Most binarization algorithms are suitable for scanned text documents and do not work adequately with complex documents that encompass photos, charts and text simultaneously. This paper presents a new binarization algorithm that works on complex documents.
Rafael Dueire Lins +2 more
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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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Sugeno integral generalization applied to improve adaptive image binarization
Information Fusion, 2021Francesco Bardozzo +2 more
exaly
CT-Net: Cascade T-shape deep fusion networks for document binarization
Pattern Recognition, 2021Sheng He, Lambert Schomaker
exaly

