You are currently viewing a new version of our website. To view the old version click .

Journal of Imaging, Volume 9, Issue 10

October 2023 - 41 articles

Cover Story: Data augmentation is a fundamental machine learning technique that expands the size of training datasets. In recent years, the development of several libraries has simplified the utilization of diverse data augmentation strategies for different tasks. Through a curated taxonomy, we present an organized classification of the different approaches employed by these libraries for computer vision tasks. To ensure the accessibility of this valuable information, a dedicated public website named DALib has been created. By offering this comprehensive resource, we aim to empower practitioners and contribute to the advancement of computer vision research and applications through the effective utilization of data augmentation techniques. View this paper
  • Issues are regarded as officially published after their release is announced to the table of contents alert mailing list .
  • You may sign up for email alerts to receive table of contents of newly released issues.
  • PDF is the official format for papers published in both, html and pdf forms. To view the papers in pdf format, click on the "PDF Full-text" link, and use the free Adobe Reader to open them.

Articles (41)

  • Article
  • Open Access
17 Citations
4,264 Views
18 Pages

29 September 2023

Fundus diseases cause damage to any part of the retina. Untreated fundus diseases can lead to severe vision loss and even blindness. Analyzing optical coherence tomography (OCT) images using deep learning methods can provide early screening and diagn...

  • Article
  • Open Access
2,310 Views
14 Pages

28 September 2023

In this paper, we propose a noise-robust pulse wave estimation method from near-infrared face video images. Pulse wave estimation in a near-infrared environment is expected to be applied to non-contact monitoring in dark areas. The conventional metho...

  • Article
  • Open Access
13 Citations
4,882 Views
28 Pages

28 September 2023

Recently, the number of vehicles on the road, especially in urban centres, has increased dramatically due to the increasing trend of individuals towards urbanisation. As a result, manual detection and recognition of vehicles (i.e., license plates and...

  • Review
  • Open Access
2 Citations
2,434 Views
15 Pages

When Not to Operate on Acute Cases—A Surgeon’s Perspective on Rapid Assessment of Emergency Abdominopelvic Computed Tomography

  • Catalin Alius,
  • Dragos Serban,
  • Laura Carina Tribus,
  • Daniel Ovidiu Costea,
  • Bogdan Mihai Cristea,
  • Crenguta Serboiu,
  • Ion Motofei,
  • Ana Maria Dascalu,
  • Bruno Velescu and
  • Corneliu Tudor
  • + 5 authors

28 September 2023

Clinical problem solving evolves in parallel with advances in technology and discoveries in the medical field. However, it always reverts to basic cognitive processes involved in critical thinking, such as hypothetical–deductive reasoning, patt...

  • Article
  • Open Access
29 Citations
22,994 Views
18 Pages

AI vs. AI: Can AI Detect AI-Generated Images?

  • Samah S. Baraheem and
  • Tam V. Nguyen

28 September 2023

The proliferation of Artificial Intelligence (AI) models such as Generative Adversarial Networks (GANs) has shown impressive success in image synthesis. Artificial GAN-based synthesized images have been widely spread over the Internet with the advanc...

  • Article
  • Open Access
6 Citations
2,768 Views
14 Pages

In-Situ Pixel-wise Emissivity Measurement Using a Multispectral Infrared Camera

  • Corentin Poissenot-Arrigoni,
  • Bertrand Marcon,
  • Frédéric Rossi and
  • Guillaume Fromentin

27 September 2023

In the thermography process, accurately determining emissivity is crucial to obtain precise temperature measurements as it enables the conversion of radiometric values to absolute temperatures. However, assessing emissivity is not a straightforward t...

  • Article
  • Open Access
21 Citations
5,736 Views
29 Pages

26 September 2023

Regular screening and timely treatment play a crucial role in addressing the progression and visual impairment caused by cataracts, the leading cause of blindness in Thailand and many other countries. Despite the potential for prevention and successf...

  • Article
  • Open Access
8 Citations
7,272 Views
18 Pages

BlinkLinMulT: Transformer-Based Eye Blink Detection

  • Ádám Fodor,
  • Kristian Fenech and
  • András Lőrincz

26 September 2023

This work presents BlinkLinMulT, a transformer-based framework for eye blink detection. While most existing approaches rely on frame-wise eye state classification, recent advancements in transformer-based sequence models have not been explored in the...

  • Article
  • Open Access
1 Citations
1,943 Views
40 Pages

Method for Assessing the Influence of Phobic Stimuli in Virtual Simulators

  • Artem Obukhov,
  • Mikhail Krasnyanskiy,
  • Andrey Volkov,
  • Alexandra Nazarova,
  • Daniil Teselkin,
  • Kirill Patutin and
  • Darya Zajceva

25 September 2023

In the organizing of professional training, the assessment of the trainee’s reaction and state in stressful situations is of great importance. Phobic reactions are a specific type of stress reaction that, however, is rarely taken into account w...

  • Review
  • Open Access
6 Citations
3,410 Views
22 Pages

Vision-Based Flying Obstacle Detection for Avoiding Midair Collisions: A Systematic Review

  • Daniel Vera-Yanez,
  • António Pereira,
  • Nuno Rodrigues,
  • José Pascual Molina,
  • Arturo S. García and
  • Antonio Fernández-Caballero

25 September 2023

This paper presents a systematic review of articles on computer-vision-based flying obstacle detection with a focus on midair collision avoidance. Publications from the beginning until 2022 were searched in Scopus, IEEE, ACM, MDPI, and Web of Science...

of 5

Get Alerted

Add your email address to receive forthcoming issues of this journal.

XFacebookLinkedIn
J. Imaging - ISSN 2313-433X