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Published in 2022 at "Journal of Biophotonics"
DOI: 10.1002/jbio.202100336
Abstract: Optical coherence tomography (OCT) angiography has drawn much attention in the medical imaging field. Binarization plays an important role in quantitative analysis of eye with optical coherence tomography. To address the problem of few training…
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Keywords:
coherence tomography;
optical coherence;
framework;
binarization ... See more keywords
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Published in 2021 at "Neural Computing and Applications"
DOI: 10.1007/s00521-021-06512-7
Abstract: Binarization, one of the most popular research directions in computer vision, is still facing challenges, especially for the degraded historical Tibetan document images. Quite a few U-Net-based binarization approaches might encounter a particular problem called…
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Keywords:
tibetan document;
net;
pseudo touching;
binarization ... See more keywords
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Published in 2019 at "Optics and Lasers in Engineering"
DOI: 10.1016/j.optlaseng.2019.06.025
Abstract: Abstract Binarization of fringe patterns is a commonly used process in the fringe skeleton method for optical fringe pattern analysis. Most of the existing binarization algorithms of fringe patterns are based on the determination of…
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Keywords:
fringe;
optical fringe;
based modified;
fringe patterns ... See more keywords
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Published in 2020 at "Photodiagnosis and photodynamic therapy"
DOI: 10.1016/j.pdpdt.2020.101778
Abstract: BACKGROUND To evaluate the effect of the first acute anterior uveitis (AAU) attack on the choroid by using an image binarization tool on images from enhanced depth imaging (EDI)-optical coherence tomography (OCT) scans in patients…
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Keywords:
attack;
anterior uveitis;
aau attack;
binarization ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3186094
Abstract: Local 3D point feature descriptors play an important role in many areas of computer vision, such as object recognition, registration, etc. There are many well-functioning feature descriptors, but they are typically real-valued and multidimensional vectors,…
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Keywords:
feature descriptors;
real valued;
binarization;
quantile based ... See more keywords
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Published in 2018 at "International Journal of Signal and Imaging Systems Engineering"
DOI: 10.1504/ijsise.2018.10014299
Abstract: Recently, researchers have started to focus on the use of multi-spectral system for document image analysis. This system provides different visions of the same document which brings to surface every hidden text. This paper suggests…
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Keywords:
multi spectral;
methodology;
document image;
binarization ... See more keywords
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Published in 2019 at "International Journal on Advanced Science, Engineering and Information Technology"
DOI: 10.18517/ijaseit.9.6.7774
Abstract: Document image binarization is the first essential step in digitalizing images and is considered an essential technique in both document image analysis applications and optical character recognition operations, the binarization process is used to obtain…
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Keywords:
image;
document image;
binarization;
binarization method ... See more keywords
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Published in 2022 at "Algorithms"
DOI: 10.3390/a15100340
Abstract: The Earth’s observation programs, through the acquisition of remotely sensed hyperspectral images, aim at detecting and monitoring any relevant surface change due to natural or anthropogenic causes. The proposed algorithm, given as input a pair…
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Keywords:
binarization;
change;
hyperspectral images;
robust successive ... See more keywords