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A Comprehensive Review on Document Image Binarization [PDF]

Journal of Imaging
In today’s digital age, the conversion of hardcopy documents into digital formats is widespread. This process involves electronically scanning and storing large volumes of documents.
Bilal Bataineh, Mohamed Tounsi, Nuha Zamzami, Jehan Janbi, Waleed Abdel Karim Abu-ain, Tarik AbuAin, Shaima Elnazer   +6 more
doaj   +2 more sources

Handwritten Image Binarization Based on Background Estimation and Local Adaptive Integration [PDF]

Jisuanji kexue, 2022
In handwritten document images,there are often uneven lighting,ink stains,paper degradation,shadows and other complex conditions.In order to solve the problem that OCR effect of document image is not ideal after binarization in complex background,a ...
HE Huang-xing, CHEN Ai-guo, WANG Jiao-long
doaj   +1 more source

Binarization of Metaheuristics: Is the Transfer Function Really Important?

Biomimetics, 2023
In this work, an approach is proposed to solve binary combinatorial problems using continuous metaheuristics. It focuses on the importance of binarization in the optimization process, as it can have a significant impact on the performance of the ...
José Lemus-Romani, Broderick Crawford, Felipe Cisternas-Caneo, Ricardo Soto, Marcelo Becerra-Rozas   +4 more
doaj   +1 more source

Binary Ghost Imaging Based on the Fuzzy Integral Method

Applied Sciences, 2021
The reconstruction quality of binary ghost imaging depends on the speckle binarization process. In order to obtain better binarization speckle and improve the reconstruction quality of binary ghost imaging, a local adaptive binarization method based on ...
Xu Yang, Jiemin Hu, Long Wu, Lu Xu, Wentao Lyu, Chenghua Yang, Wei Zhang   +6 more
doaj   +1 more source

U-Net-bin: hacking the document image binarization contest [PDF]

Компьютерная оптика, 2019
Image binarization is still a challenging task in a variety of applications. In particular, Document Image Binarization Contest (DIBCO) is organized regularly to track the state-of-the-art techniques for the historical document binarization. In this work
Pavel Bezmaternykh, Dmitrii Ilin, Dmitry Nikolaev   +2 more
doaj   +1 more source

QBB: Quantile-Based Binarization of 3D Point Cloud Descriptors

IEEE Access, 2022
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 ...
Daniel Varga, Janos Mark Szalai-Gindl, Marton Ambrus-Dobai, Sandor Laki   +3 more
doaj   +1 more source

Adaptive Gaussian and Double Thresholding for Contour Detection and Character Recognition of Two-Dimensional Area Using Computer Vision

Engineering Proceedings, 2023
Contour detection with good accuracy is challenging in various computer-aided measurement applications. This paper evaluates the performance and comparison of thresholding and edge detection techniques for contour measurement along with character ...
Nehal Abdul Rehman, Farah Haroon
doaj   +1 more source

The impact of different thresholds on optical coherence tomography angiography images binarization and quantitative metrics

Scientific Reports, 2021
Optical coherence tomography angiography (OCTA) provides several data regarding the status of retinal capillaries. This information can be further enlarged by employing quantitative metrics, such as vessel density (VD).
Alessandro Arrigo, Emanuela Aragona, Andrea Saladino, Alessia Amato, Francesco Bandello, Maurizio Battaglia Parodi   +5 more
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Teaching Learning-Based Optimization With Evolutionary Binarization Schemes for Tackling Feature Selection Problems

IEEE Access, 2021
Machine learning techniques heavily rely on available training data in a data set. Certain features in the data can interfere with the learning process, so it is required to remove irrelevant and redundant features to build a robust training model.
Thaer Thaher, Majdi Mafarja, Hamza Turabieh, Pedro A. Castillo, Hossam Faris, Ibrahim Aljarah   +5 more
doaj   +1 more source

Clustering-Based Binarization Methods Applied to the Crow Search Algorithm for 0/1 Combinatorial Problems

Mathematics, 2020
Metaheuristics are smart problem solvers devoted to tackling particularly large optimization problems. During the last 20 years, they have largely been used to solve different problems from the academic as well as from the real-world.
Sergio Valdivia, Ricardo Soto, Broderick Crawford, Nicolás Caselli, Fernando Paredes, Carlos Castro, Rodrigo Olivares   +6 more
doaj   +1 more source