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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
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Articles (41)

  • Review
  • Open Access
8 Citations
6,223 Views
46 Pages

DALib: A Curated Repository of Libraries for Data Augmentation in Computer Vision

  • Sofia Amarù,
  • Davide Marelli,
  • Gianluigi Ciocca and
  • Raimondo Schettini

20 October 2023

Data augmentation is a fundamental technique in machine learning that plays a crucial role in expanding the size of training datasets. By applying various transformations or modifications to existing data, data augmentation enhances the generalizatio...

  • Article
  • Open Access
3 Citations
2,533 Views
16 Pages

Super-Resolved Dynamic 3D Reconstruction of the Vocal Tract during Natural Speech

  • Karyna Isaieva,
  • Freddy Odille,
  • Yves Laprie,
  • Guillaume Drouot,
  • Jacques Felblinger and
  • Pierre-André Vuissoz

20 October 2023

MRI is the gold standard modality for speech imaging. However, it remains relatively slow, which complicates imaging of fast movements. Thus, an MRI of the vocal tract is often performed in 2D. While 3D MRI provides more information, the quality of s...

  • Article
  • Open Access
2,025 Views
16 Pages

Spatio-Temporal Positron Emission Tomography Reconstruction with Attenuation and Motion Correction

  • Enza Cece,
  • Pierre Meyrat,
  • Enza Torino,
  • Olivier Verdier and
  • Massimiliano Colarieti-Tosti

20 October 2023

The detection of cancer lesions of a comparable size to that of the typical system resolution of modern scanners is a long-standing problem in Positron Emission Tomography. In this paper, the effect of composing an image-registering convolutional neu...

  • Article
  • Open Access
1,953 Views
22 Pages

A Geometric Feature-Based Algorithm for the Virtual Reading of Closed Historical Manuscripts

  • Rosa Brancaccio,
  • Fauzia Albertin,
  • Marco Seracini,
  • Matteo Bettuzzi and
  • Maria Pia Morigi

20 October 2023

X-ray Computed Tomography (CT), a commonly used technique in a wide variety of research fields, nowadays represents a unique and powerful procedure to discover, reveal and preserve a fundamental part of our patrimony: ancient handwritten documents. F...

  • Article
  • Open Access
2,640 Views
20 Pages

20 October 2023

In this paper, we propose a novel convex variational model for image restoration with multiplicative noise. To preserve the edges in the restored image, our model incorporates a total variation regularizer. Additionally, we impose an equality constra...

  • Article
  • Open Access
2,109 Views
14 Pages

20 October 2023

Numerous studies have investigated ionospheric waves, also known as ionospheric disturbances. These disturbances exhibit complex wave patterns similar to those produced by solar, geomagnetic, and meteorological disturbances and human activities withi...

  • Article
  • Open Access
4 Citations
3,578 Views
14 Pages

Mapping Quantitative Observer Metamerism of Displays

  • Giorgio Trumpy,
  • Casper Find Andersen,
  • Ivar Farup and
  • Omar Elezabi

19 October 2023

Observer metamerism (OM) is the name given to the variability between the color matches that individual observers consider accurate. The standard color imaging approach, which uses color-matching functions of a single representative observer, does no...

  • Brief Report
  • Open Access
10 Citations
2,549 Views
9 Pages

Placental Vessel Segmentation Using Pix2pix Compared to U-Net

  • Anouk van der Schot,
  • Esther Sikkel,
  • Marèll Niekolaas,
  • Marc Spaanderman and
  • Guido de Jong

16 October 2023

Computer-assisted technologies have made significant progress in fetoscopic laser surgery, including placental vessel segmentation. However, the intra- and inter-procedure variabilities in the state-of-the-art segmentation methods remain a significan...

  • Article
  • Open Access
5 Citations
2,510 Views
13 Pages

Leveraging AI in Postgraduate Medical Education for Rapid Skill Acquisition in Ultrasound-Guided Procedural Techniques

  • Flora Wen Xin Xu,
  • Amanda Min Hui Choo,
  • Pamela Li Ming Ting,
  • Shao Jin Ong and
  • Deborah Khoo

16 October 2023

Ultrasound-guided techniques are increasingly prevalent and represent a gold standard of care. Skills such as needle visualisation, optimising the target image and directing the needle require deliberate practice. However, training opportunities rema...

  • Article
  • Open Access
17 Citations
6,643 Views
15 Pages

Explainable Image Similarity: Integrating Siamese Networks and Grad-CAM

  • Ioannis E. Livieris,
  • Emmanuel Pintelas,
  • Niki Kiriakidou and
  • Panagiotis Pintelas

14 October 2023

With the proliferation of image-based applications in various domains, the need for accurate and interpretable image similarity measures has become increasingly critical. Existing image similarity models often lack transparency, making it challenging...

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J. Imaging - ISSN 2313-433X