Zobrazeno 1 - 10 of 1 260 pro vyhledávání: '"lcsh:Photography"'
1
CleanPage: Fast and Clean Document and Whiteboard Capture
Autor: Jane Courtney
Publikováno v: Articles
Journal of Imaging, Vol 6, Iss 102, p 102 (2020)
Journal of Imaging
Volume 6
Issue 10
The move from paper to online is not only necessary for remote working, it is also significantly more sustainable. This trend has seen a rising need for the high-quality digitization of content from pages and whiteboards to sharable online material.
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::62cf143d4aa2dc6247e9b66e295d85f9
https://arrow.tudublin.ie/context/engscheleart2/article/1286/viewcontent/jimaging_06_00102.pdf
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2
Skin Lesion Segmentation Using Deep Learning with Auxiliary Task
Autor: Mrinal Mandal, Lina Liu, Ying Y. Tsui
Publikováno v: Journal of Imaging
Volume 7
Issue 4
Journal of Imaging, Vol 7, Iss 67, p 67 (2021)
Skin lesion segmentation is a primary step for skin lesion analysis, which can benefit the subsequent classification task. It is a challenging task since the boundaries of pigment regions may be fuzzy and the entire lesion may share a similar color.
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b23d5048655a14824911fed9767719c3
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3
Transfer Learning in Magnetic Resonance Brain Imaging: A Systematic Review
Autor: Mithilesh Prakash, Vandad Imani, Robert Ciszek, Riccardo De Feo, Jussi Tohka, Ali Abdollahzadeh, Juan Miguel Valverde
Publikováno v: Journal of Imaging
Journal of Imaging, Vol 7, Iss 66, p 66 (2021)
Transfer learning refers to machine learning techniques that focus on acquiring knowledge from related tasks to improve generalization in the tasks of interest. In MRI, transfer learning is important for developing strategies that address the variati
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3c91b46508faea826a0103641fec5ad8
http://europepmc.org/articles/PMC8321322
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4
Psychophysical Determination of the Relevant Colours That Describe the Colour Palette of Paintings
Autor: Juan Luis Nieves, Javier Romero, Juan Ramón Guijarro Ojeda, Luis Gómez-Robledo
Publikováno v: Journal of Imaging
Digibug. Repositorio Institucional de la Universidad de Granada
instname
Journal of Imaging, Vol 7, Iss 72, p 72 (2021)
Volume 7
Issue 4
Digibug: Repositorio Institucional de la Universidad de Granada
Universidad de Granada (UGR)
In an early study, the so-called “relevant colour” in a painting was heuristically introduced as a term to describe the number of colours that would stand out for an observer when just glancing at a painting. The purpose of this study is to analy
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6dbaeaa124065302e3ac510a588f082f
http://europepmc.org/articles/PMC8321366
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5
Deeply Supervised UNet for Semantic Segmentation to Assist Dermatopathological Assessment of Basal Cell Carcinoma
Autor: Jean Le’Clerc Arrastia, Nick Heilenkötter, Daniel Otero Baguer, Lena Hauberg-Lotte, Tobias Boskamp, Sonja Hetzer, Nicole Duschner, Jörg Schaller, Peter Maass
Publikováno v: Journal of Imaging
Volume 7
Issue 4
Journal of Imaging, Vol 7, Iss 71, p 71 (2021)
Accurate and fast assessment of resection margins is an essential part of a dermatopathologist’s clinical routine. In this work, we successfully develop a deep learning method to assist the dermatopathologists by marking critical regions that have
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid_dedup__::630709222271c23f87a31ff7fb3f3bac
http://europepmc.org/articles/PMC8321345
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6
Progressive Secret Sharing with Adaptive Priority and Perfect Reconstruction
Autor: Alim Wicaksono Hari Prayuda, Heri Prasetyo, Chih-Hsien Hsia
Publikováno v: Journal of Imaging
Journal of Imaging, Vol 7, Iss 70, p 70 (2021)
Volume 7
Issue 4
A new technique for progressive visual secret sharing (PVSS) with adaptive priority weight is proposed in this paper. This approach employs the bitwise and eXclusive-OR (XOR) based approaches for generating a set of shared images from a single secret
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::185718e18ec6c0e46c5d5898aa2cbb11
http://europepmc.org/articles/PMC8321329
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7
A Comprehensive Review of Deep-Learning-Based Methods for Image Forensics
Autor: Ivan Castillo Camacho, Kai Wang
Publikováno v: Journal of Imaging, Vol 7, Iss 69, p 69 (2021)
Journal of Imaging
Journal of Imaging, MDPI, 2021, Special Issue Image and Video Forensics, 7 (4), pp.69:1-39. ⟨10.3390/jimaging7040069⟩
International audience; Seeing is not believing anymore. Different techniques have brought to our fingertips the ability to modify an image. As the difficulty of using such techniques decreases, lowering the necessity of specialized knowledge has bee
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::56e2b285b305737dbeac9109689ff241
https://www.mdpi.com/2313-433X/7/4/69
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8
A Comparative Analysis for 2D Object Recognition: A Case Study with Tactode Puzzle-Like Tiles
Autor: Armando Sousa, Valter Costa, Daniel Castro Silva
Publikováno v: Journal of Imaging
Volume 7
Issue 4
Journal of Imaging, Vol 7, Iss 65, p 65 (2021)
Object recognition represents the ability of a system to identify objects, humans or animals in images. Within this domain, this work presents a comparative analysis among different classification methods aiming at Tactode tile recognition. The cover
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6d48b039ab72f50d8abec3283c977520
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9
Investigating the Potential of Network Optimization for a Constrained Object Detection Problem
Autor: Cédric Gullentops, Kristof Van Beeck, Toon Goedemé, Tanguy Ophoff
Publikováno v: Journal of Imaging
Volume 7
Issue 4
Journal of Imaging, Vol 7, Iss 64, p 64 (2021)
Object detection models are usually trained and evaluated on highly complicated, challenging academic datasets, which results in deep networks requiring lots of computations. However, a lot of operational use-cases consist of more constrained situati
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::47ffd53d5cf49e1ef0d98275a3f47c85
https://lirias.kuleuven.be/handle/123456789/675383
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10
Time- and Resource-Efficient Time-to-Collision Forecasting for Indoor Pedestrian Obstacles Avoidance
Autor: Alice Caplier, David Urban
Publikováno v: Journal of Imaging
Volume 7
Issue 4
Journal of Imaging, Vol 7, Iss 61, p 61 (2021)
As difficult vision-based tasks like object detection and monocular depth estimation are making their way in real-time applications and as more light weighted solutions for autonomous vehicles navigation systems are emerging, obstacle detection and c
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d412abc361ca3b5ad113c6b854782954
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