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 +5 more
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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 +3 more
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DeepOtsu: Document Enhancement and Binarization using Iterative Deep Learning [PDF]
, 2019 This paper presents a novel iterative deep learning framework and apply it for document enhancement and binarization. Unlike the traditional methods which predict the binary label of each pixel on the input image, we train the neural network to learn the
He, Sheng, Schomaker, Lambert
core +2 more sources
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 +2 more
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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 +3 more
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Region-adaptive probability model selection for the arithmetic coding of video texture [PDF]
, 2011 In video coding systems using adaptive arithmetic coding to compress texture information, the employed symbol probability models need to be retrained every time the coding process moves into an area with different texture.
Barbarien, Joeri +3 more
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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
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Computationally Efficient Implementation of Convolution-based Locally Adaptive Binarization Techniques [PDF]
, 2012 One of the most important steps of document image processing is binarization. The computational requirements of locally adaptive binarization techniques make them unsuitable for devices with limited computing facilities.
A.S. Abutaleb +15 more
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Synaptic metaplasticity in binarized neural networks [PDF]
Nature Communications, 2021 AbstractWhile deep neural networks have surpassed human performance in multiple situations, they are prone to catastrophic forgetting: upon training a new task, they rapidly forget previously learned ones. Neuroscience studies, based on idealized tasks, suggest that in the brain, synapses overcome this issue by adjusting their plasticity depending on ...
Axel Laborieux +3 more
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Vibration intensity estimation based on image analysis of a round test object with vibration blur
Известия высших учебных заведений. Поволжский регион:Технические науки, 2022 Background. The vibration signal carries a lot of information about the state and internal structure of both the source and the receiver of this signal.
A.V. Grigor'ev
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