Results 21 to 30 of about 15,536 (307)

Multi-scale Multi-attention Network for Moiré Document Image Binarization

, 2021
In this paper, we propose a Multi-scale Multi-attention Network (MsMa-Net) to binarize document images contaminated by moiré patterns from camera-captured screens.
Ji, Caijuan, Luo, Xiangyang, Zheng, Xin, Guo, Yanqing, Wang, Qianyu   +4 more
core   +1 more source

Choroidal Vascularity Index and Choroidal Thickness Changes Following Renal Transplantation

Türk Oftalmoloji Dergisi, 2023
Objectives:This study aimed to evaluate changes in subfoveal choroidal thickness (SFCT), choroidal vascularity index (CVI), estimated glomerular filtration rate (GFR), mean arterial pressure (MAP), and intraocular pressure (IOP) after renal ...
Mustafa Aksoy, Leyla Asena, Mustafa Agah Tekindal, Ebru Hatice Ayvazoğlu Soy, Gürsel Yılmaz, Mehmet Haberal   +5 more
doaj   +1 more source

Using Paper Texture for Choosing a Suitable Algorithm for Scanned Document Image Binarization

Journal of Imaging, 2022
The intrinsic features of documents, such as paper color, texture, aging, translucency, the kind of printing, typing or handwriting, etc., are important with regard to how to process and enhance their image. Image binarization is the process of producing
Rafael Dueire Lins, Rodrigo Bernardino, Ricardo da Silva Barboza, Raimundo Correa De Oliveira   +3 more
doaj   +1 more source

Network Binarization via Contrastive Learning

, 2022
Neural network binarization accelerates deep models by quantizing their weights and activations into 1-bit. However, there is still a huge performance gap between Binary Neural Networks (BNNs) and their full-precision (FP) counterparts.
Shang, Yuzhang, Xu, Dan, Nie, Liqiang, Yan, Yan, Zong, Ziliang   +4 more
core   +2 more sources

A joint study of deep learning-based methods for identity document image binarization and its influence on attribute recognition

Компьютерная оптика, 2023
Text recognition has benefited considerably from deep learning research, as well as the preprocessing methods included in its workflow. Identity documents are critical in the field of document analysis and should be thoroughly researched in relation to ...
R. Sánchez-Rivero, P.V. Bezmaternykh, A.V. Gayer, A. Morales-González, F. José Silva-Mata, K.B. Bulatov   +5 more
doaj   +1 more source

Binarized Support Vector Machines [PDF]

INFORMS Journal on Computing, 2010
The widely used support vector machine (SVM) method has shown to yield very good results in supervised classification problems. Other methods such as classification trees have become more popular among practitioners than SVM thanks to their interpretability, which is an important issue in data mining.In this work, we propose an SVM-based method that ...
Emilio Carrizosa, Belen Martin-Barragan, Dolores Romero Morales   +2 more
openaire   +8 more sources

Degraded Historical Document Binarization: A Review on Issues, Challenges, Techniques, and Future Directions

Journal of Imaging, 2019
In this era of digitization, most hardcopy documents are being transformed into digital formats. In the process of transformation, large quantities of documents are stored and preserved through electronic scanning.
Alaa Sulaiman, Khairuddin Omar, Mohammad F. Nasrudin   +2 more
doaj   +1 more source

Heuristic threshold for Histogram-based Binarization of Grayscale Images

Industrial Data, 2014
The development of a Virtual Lab to perform experiments on histogram-based binarization of grey-leveled images is reported. With the aim of automatizing the binarization process, a Heuristic Binarization Threshold is introduced.
Javier Montenegro Joo
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
doaj   +1 more source

Image Segmentation by Agent-Based Pixel Homogenization

IEEE Access, 2023
Image segmentation is the process of partitioning an image into multiple regions or objects, each representing a coherent and meaningful part of the image.
Ernesto Ayala, Erik Cuevas, Daniel Zaldivar, Marco Perez   +3 more
doaj   +1 more source