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Journal of Imaging, Volume 11, Issue 1

January 2025 - 28 articles

Cover Story: The relationship between light spectra and color discrimination capabilities can be examined through carefully designed psychophysical experiments. This work specifically examines LED lighting, proposing a novel experimental methodology based on color pair comparisons. To overcome the limits of existing color systems and enable the creation of tailored color sample sets, a calibration process is presented to produce desired color patches using a commercial inkjet printer. While LEDs offer the advantage of generating a wide range of light spectra, their performance is affected by heat-induced instabilities. To address such an issue, an active feedback algorithm is proposed to dynamically regulate the light output in real time, ensuring stability and minimizing potential biases in experimental results. View this paper
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Articles (28)

  • Article
  • Open Access
3 Citations
2,485 Views
17 Pages

Enhanced CATBraTS for Brain Tumour Semantic Segmentation

  • Rim El Badaoui,
  • Ester Bonmati Coll,
  • Alexandra Psarrou,
  • Hykoush A. Asaturyan and
  • Barbara Villarini

The early and precise identification of a brain tumour is imperative for enhancing a patient’s life expectancy; this can be facilitated by quick and efficient tumour segmentation in medical imaging. Automatic brain tumour segmentation tools in...

  • Article
  • Open Access
2 Citations
1,621 Views
13 Pages

Fitting Geometric Shapes to Fuzzy Point Cloud Data

  • Vincent B. Verhoeven,
  • Pasi Raumonen and
  • Markku Åkerblom

This article describes procedures and thoughts regarding the reconstruction of geometry-given data and its uncertainty. The data are considered as a continuous fuzzy point cloud, instead of a discrete point cloud. Shape fitting is commonly performed...

  • Article
  • Open Access
1,891 Views
17 Pages

Exploring Multi-Pathology Brain Segmentation: From Volume-Based to Component-Based Deep Learning Analysis

  • Ioannis Stathopoulos,
  • Roman Stoklasa,
  • Maria Anthi Kouri,
  • Georgios Velonakis,
  • Efstratios Karavasilis,
  • Efstathios Efstathopoulos and
  • Luigi Serio

31 December 2024

Detection and segmentation of brain abnormalities using Magnetic Resonance Imaging (MRI) is an important task that, nowadays, the role of AI algorithms as supporting tools is well established both at the research and clinical-production level. While...

  • Article
  • Open Access
4 Citations
2,874 Views
28 Pages

Geometric Feature Characterization of Apple Trees from 3D LiDAR Point Cloud Data

  • Md Rejaul Karim,
  • Shahriar Ahmed,
  • Md Nasim Reza,
  • Kyu-Ho Lee,
  • Joonjea Sung and
  • Sun-Ok Chung

31 December 2024

The geometric feature characterization of fruit trees plays a role in effective management in orchards. LiDAR (light detection and ranging) technology for object detection enables the rapid and precise evaluation of geometric features. This study aim...

  • Article
  • Open Access
1,856 Views
21 Pages

Experimental Protocol for Color Difference Evaluation Under Stabilized LED Light

  • Sofiane Vernet,
  • Eric Dinet,
  • Alain Trémeau and
  • Philippe Colantoni

30 December 2024

There are two key factors to consider before implementing a color discrimination experiment. First, a set of color patches should be selected or designed for the specific purpose of the experiment to be carried out. Second, the lighting conditions sh...

  • Article
  • Open Access
2 Citations
2,787 Views
13 Pages

Modified Center-Edge Angle in Children with Developmental Dysplasia of the Hip

  • Katharina S. Gather,
  • Fabian Sporer,
  • Christos Tsagkaris,
  • Marco Götze,
  • Simone Gantz,
  • Sebastien Hagmann and
  • Thomas Dreher

27 December 2024

Developmental dysplasia of the hip (DDH) is a prevalent developmental condition that necessitates early detection and treatment. Follow–up, as well as therapeutic decision-making in children younger than four years, is challenging because the c...

  • Review
  • Open Access
14 Citations
10,552 Views
52 Pages

24 December 2024

Brain tumor detection is crucial in medical research due to high mortality rates and treatment challenges. Early and accurate diagnosis is vital for improving patient outcomes, however, traditional methods, such as manual Magnetic Resonance Imaging (...

  • Review
  • Open Access
4 Citations
1,996 Views
28 Pages

24 December 2024

The term pansharpening denotes the process by which the geometric resolution of a multiband image is increased by means of a co-registered broadband panchromatic observation of the same scene having greater spatial resolution. Over time, the benchmar...

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J. Imaging - ISSN 2313-433X